Items where Modified Agris Subject Categories is "(A) Swedish standard research categories 2011 > 2 Engineering and Technology > 207 Environmental Engineering > Remote Sensing"

Subject categories (15570)
- (A) Swedish standard research categories 2011 (12923)
  - 2 Engineering and Technology (807)
    - 207 Environmental Engineering (388)
      - Remote Sensing (140)

Jump to: A | B | C | D | E | F | G | H | J | K | L | M | N | O | P | R | S | T | U | V | W | Z

Number of items at this level: 140.

A

Adnan, Syed and Valbuena, Ruben and Kauranne, Tuomo and Gopalakrishnan, Ranjith and Maltamo, Matti (2022). Optimizing the airborne laser scanning estimation of basal area larger than mean (BALM): An indicator of cohort balance in forests. Ecological Indicators. 142 , 109162
[Research article]

Appiah Mensah, Alex and Jonzen, Jonas and Nyström, Kenneth and Wallerman, Jörgen and Nilsson, Mats (2023). Mapping site index in coniferous forests using bi-temporal airborne laser scanning data and field data from the Swedish national forest inventory. Forest Ecology and Management. 547 , 121395
[Research article]

Appiah Mensah, Alex and Sarfo, Daniel Akoto and Partey, Samuel Tetteh (2019). Assessment of vegetation dynamics using remote sensing and GIS: A case of Bosomtwe Range Forest Reserve, Ghana. The Egyptian journal of remote sensing and space sciences. 22 , 145-154
[Research article]

Araza, Arnan and Herold, Martin and de Bruin, Sytze and Ciais, Philippe and Gibbs, David A. and Harris, Nancy and Santoro, Maurizio and Wigneron, Jean-Pierre and Yang, Hui and Malaga, Natalia and Nesha, Karimon and Rodriguez-Veiga, Pedro and Brovkina, Olga and Brown, Hugh C.A. and Chanev, Milen and Dimitrov, Zlatomir and Filchev, Lachezar and Fridman, Jonas and García, Mariano and Gikov, Alexander and Govaere, Leen and Dimitrov, Petar and Moradi, Fardin and Muelbert, Adriane Esquivel and Novotny, Jan and Pugh, Thomas A.M. and Schelhaas, Mart-Jan and Schepaschenko, Dmitry and Stereńczak, Krzysztof and Hein, Lars (2023). Past decade above-ground biomass change comparisons from four multi-temporal global maps. International Journal of Applied Earth Observation and Geoinformation. 118 , 103274
[Research article]

Askne, J.I.H. and Fransson, Johan and Santoro, M. and Soja, M.J. and Ulander, L.M.H. (2013). Model-based biomass estimation of a hemi-boreal forest from multitemporal TanDEM-X acquisitions. Remote sensing. 5 :11 , 5574-5597
[Research article]

Axelsson, Arvid (2023). Tree Species Classification : Analyzing Multitemporal Satellite Imagery and Multispectral Airborne Laser Scanning Data. Diss. (sammanfattning/summary) Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880
ISBN 978-91-8046-266-2
eISBN 978-91-8046-267-9
[Doctoral thesis]

Axelsson, Arvid and Lindberg, Eva and Olsson, Håkan (2018). Exploring Multispectral ALS Data for Tree Species Classification. Remote Sensing. 10 , 183
[Research article]

Axelsson, Arvid and Lindberg, Eva and Reese, Heather and Olsson, Håkan (2021). Tree species classification using Sentinel-2 imagery and Bayesian inference. International Journal of Applied Earth Observation and Geoinformation. 100 , 102318
[Research article]

Axelsson, Christoffer and Lindberg, Eva and Persson, Henrik and Holmgren, Johan (2023). The use of dual-wavelength airborne laser scanning for estimating tree species composition and species-specific stem volumes in a boreal forest. International Journal of Applied Earth Observation and Geoinformation. 118 , 103251
[Research article]

B

Bartsch, Annett and Widhalm, Barbara and Leibman, Marina and Emorkhina, Ksenia and Kumpula, Timo and Skarin, Anna and Wilcox, Evan J. and Jones, Benjamin M. and Frost, Gerald V. and Höfler, Angelika and Pointner, Georg (2020). Feasibility of tundra vegetation height retrieval from Sentinel-1 and Sentinel-2 data. Remote Sensing of Environment. 237 , 1-19
[Research article]

Bohlin, Jonas and Wallerman, Jörgen and Fransson, Johan (2021). Extraction of Spectral Information from Airborne 3D Data for Assessment of Tree Species Proportions. Remote Sensing. 13 , 720
[Research article]

Bohlin, Jonas and Wallerman, Jörgen and Fransson, Johan E.S. and Olsson, Håkan (2012). Species-specific forest variable estimation using non-parametric modeling of multi-spectral photogrammetric point cloud data. I/In: The XXII Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS), 25 Aug - 1 Sept 2012, Melbourne, Australia.
[Conference Paper]

Breidenbach, Johannes and Ellison, David and Petersson, Hans and Korhonen, Kari T. and Henttonen, Helena M. and Wallerman, Jörgen and Fridman, Jonas and Gobakken, Terje and Astrup, Rasmus and Næsset, Erik (2022). Harvested area did not increase abruptly—how advancements in satellite-based mapping led to erroneous conclusions. Annals of Forest Science. 79 , 2
[Research article]

Burdun, Iuliia and Bechtold, Michel and Aurela, Mika and De Lannoy, Gabrielle and Desai, Ankur R. and Humphreys, Elyn and Komisarenko, Viacheslav and Liimatainen, Maarit and Marttila, Hannu and Minkkinen, Kari and Nilsson, Mats and Ojanen, Paavo and Salko, Sini-Selina and Tuittila, Eeva-Stiina and Uuemaa, Evelyn and Rautiainen, Miina (2023). Hidden becomes clear: Optical remote sensing of vegetation reveals water table dynamics in northern peatlands. Remote Sensing of Environment. 296 , 113736
[Research article]

Burdun, Iuliia and Bechtold, Michel and Sagris, Valentina and Lohila, Annalea and Humphreys, Elyn and Desai, Ankur R. and Nilsson, Mats and De Lannoy, Gabrielle and Mander, Ulo (2020). Satellite Determination of Peatland Water Table Temporal Dynamics by Localizing Representative Pixels of A SWIR-Based Moisture Index. Remote Sensing. 12 , 2936
[Research article]

C

Cai, Zhanzhang and Junttila, Sofia and Holst, Jutta and Jin, Hongxiao and Ardo, Jonas and Ibrom, Andreas and Peichl, Matthias and Molder, Meelis and Jonsson, Per and Rinne, Janne and Karamihalaki, Maria and Eklundh, Lars (2021). Modelling Daily Gross Primary Productivity with Sentinel-2 Data in the Nordic Region-Comparison with Data from MODIS. Remote Sensing. 13 , 469
[Research article]

Castaldi, Fabio and Volungevicius, Jonas and Wetterlind, Johanna and Malo, Douglas and Zydelis, Renaldas and Vaudour, Emmanuelle (2023). Assessing the capability of Sentinel-2 time-series to estimate soil organic carbon and clay content at local scale in croplands. ISPRS Journal of Photogrammetry and Remote Sensing. 199 , 40-60
[Research article]

Chen, Fangting and Hou, Zhengyang and Saarela, Svetlana and McRoberts, Ronald E. and Ståhl, Göran and Kangas, Annika and Packalen, Petteri and Li, Bo and Xu, Qing (2023). Leveraging remotely sensed non-wall-to-wall data for wall-to-wall upscaling in forest inventory. International Journal of Applied Earth Observation and Geoinformation. 119 , 103314
[Research article]

D

Dubayah, Ralph and Armston, John and Healey, Sean P. and Bruening, Jamis M. and Patterson, Paul L. and Kellner, James R. and Duncanson, Laura and Saarela, Svetlana and Ståhl, Göran and Yang, Zhiqiang and Tang, Hao and Blair, J. Bryan and Fatoyinbo, Lola and Goetz, Scott and Hancock, Steven and Hansen, Matthew and Hofton, Michelle and Hurtt, George and Luthcke, Scott (2022). GEDI launches a new era of biomass inference from space. Environmental Research Letters. 17 :9 , 095001
[Research article]

Duncanson, Laura and Kellner, James R. and Armston, John and Dubayah, Ralph and Minor, David M. and Hancock, Steven and Healey, Sean P. and Patterson, Paul L. and Saarela, Svetlana and Marselis, Suzanne and Silva, Carlos E. and Bruening, Jamis and Goetz, Scott J. and Tang, Hao and Hofton, Michelle and Blair, Bryan and Luthcke, Scott and Fatoyinbo, Lola and Abernethy, Katharine and Alonso, Alfonso and Andersen, Hans-Erik and Aplin, Paul and Baker, Timothy R. and Barbier, Nicolas and Bastin, Jean Francois and Biber, Peter and Boeckx, Pascal and Bogaert, Jan and Boschetti, Luigi and Boucher, Peter Brehm and Boyd, Doreen S. and Burslem, David F. R. P. and Calvo-Rodriguez, Sofia and Chave, Jerome and Chazdon, Robin L. and Clark, David B. and Clark, Deborah A. and Cohen, Warren B. and Coomes, David A. and Corona, Piermaria and Cushman, K. C. and Cutler, Mark E. J. and Dalling, James W. and Dalponte, Michele and Dash, Jonathan and de-Miguel, Sergio and Deng, Songqiu and Ellis, Peter Woods and Erasmus, Barend and Fekety, Patrick A. and Fernandez-Landa, Alfredo and Ferraz, Antonio and Fischer, Rico and Fisher, Adrian G. and Garcia-Abril, Antonio and Gobakken, Terje and Hacker, Jorg M. and Heurich, Marco and Hill, Ross A. and Hopkinson, Chris and Huang, Huabing and Hubbell, Stephen P. and Hudak, Andrew T. and Huth, Andreas and Imbach, Benedikt and Jeffery, Kathryn J. and Katoh, Masato and Kearsley, Elizabeth and Kenfack, David and Kljun, Natascha and Knapp, Nikolai and Kral, Kamil and Krucek, Martin and Labriere, Nicolas and Lewis, Simon L. and Longo, Marcos and Lucas, Richard M. and Main, Russell and Manzanera, Jose A. and Martinez, Rodolfo Vasquez and Mathieu, Renaud and Memiaghe, Herve and Meyer, Victoria and Mendoza, Abel Monteagudo and Monerris, Alessandra and Montesano, Paul and Morsdorf, Felix and Naesset, Erik and Naidoo, Laven and Nilus, Reuben and O'Brien, Michael and Orwig, David A. and Papathanassiou, Konstantinos and Parker, Geoffrey and Philipson, Christopher and Phillips, Oliver L. and Pisek, Jan and Poulsen, John R. and Pretzsch, Hans and Rudiger, Christoph and Saatchi, Sassan and Sanchez-Azofeifa, Arturo and Sanchez-Lopez, Nuria and Scholes, Robert and Silva, Carlos A. and Simard, Marc and Skidmore, Andrew and Sterenczak, Krzysztof and Tanase, Mihai and Torresan, Chiara and Valbuena, Ruben and Verbeeck, Hans and Vrska, Tomas and Wessels, Konrad and White, Joanne C. and White, Lee J. T. and Zahabu, Eliakimu and Zgraggen, Carlo (2022). Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission. Remote Sensing of Environment. 270 , 112845
[Research article]

de Paula Pires, Raul and Holmgren, Johan and Persson, Henrik and Lindberg, Eva and Olofsson, Kenneth (2021). Influence of distance to the road on stem detection with car-mounted mobile laser scanner. I/In: SilviLaser Conference 2021, 210928-210930, Vienna, Austria.
[Conference Paper]

de Paula Pires, Raul and Olofsson, Kenneth and Persson, Henrik and Lindberg, Eva and Holmgren, Johan (2022). Individual tree detection and estimation of stem attributes with mobile laser scanning along boreal forest roads. ISPRS Journal of Photogrammetry and Remote Sensing. 187 , 211-224
[Research article]

E

Ehlers, Sarah and Saarela, Svetlana and Lindgren, Nils and Lindberg, Eva and Nyström, Mattias and Persson, Henrik and Olsson, Håkan and Ståhl, Göran (2018). Assessing Error Correlations in Remote Sensing-Based Estimates of Forest Attributes for Improved Composite Estimation. Remote Sensing. 10 , 667
[Research article]

Ehnvall, Betty and Ågren, Anneli and Nilsson, Mats and Ratcliffe, Joshua and Noumonvi, Koffi Dodji and Peichl, Matthias and Lidberg, William and Giesler, Reiner and Mörth, Carl-Magnus and Öquist, Mats (2023). Catchment characteristics control boreal mire nutrient regime and vegetation patterns over ~5000 years of landscape development. Science of the Total Environment. 895 , 165132
[Research article]

Ekström, Magnus and Nilsson, Mats (2021). A Comparison of Model-Assisted Estimators, With and Without Data-Driven Transformations of Auxiliary Variables, With Application to Forest Inventory. Frontiers in forests and global change. 4 , 764495
[Research article]

Eysn, Lothar and Hollaus, Markus and Lindberg, Eva and Berger, Frédéric and Monnet, Jean-Matthieu and Dalponte, Michele and Kobal, Milan and Pellegrini, Marco and Lingua, Emanuele and Mongus, Domen and Pfeifer, Norbert (2015). A benchmark of lidar-based single tree detection methods using heterogeneous forest data from the alpine space. Forests. 6 :5 , 1721-1747
[Research article]

F

Flyckt, Jonatan and Andersson, Filip and Lavesson, Niklas and Nilsson, Liselott and Ågren, Anneli (2022). Detecting ditches using supervised learning on high-resolution digital elevation models. Expert Systems with Applications. 201 , 116961
[Research article]

Forsman, Mona (2018). Tree stem diameter estimation from terrestrial point clouds. Diss. (sammanfattning/summary) Umeå : Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880 ; 2018:54
ISBN 978-91-7760-248-4
eISBN 978-91-7760-249-1
[Doctoral thesis]

Forsman, Mona and Börlin, Niclas and Holmgren, Johan (2016). Estimation of tree Stem attributes using terrestrial photogrammetry with a camera rig. Forests. 7 :3 , 1-20
[Research article]

Forsman, Mona and Holmgren, Johan and Olofsson, Kenneth (2016). Tree stem diameter estimation from mobile laser scanning using line-wise intensity-based clustering. Forests. 7 :9 , 1-22
[Research article] (Unpublished)

Fransson, Johan E.S. and Santoro, Maurizio and Wallerman, Jörgen and Persson, Henrik and Monteith, Albert R. and Eriksson, Leif E B and Nilsson, Mats and Olsson, Håkan and Soja, Maciej J. and Ulander, Lars M.H. (2016). Estimation of forest stem volume using ALOS-2 PALSAR-2 satellite images. I/In: IGARSS 2016 Symposium, Advancing the understanding of our living planet, 10-15 July, Beijing, China.
[Conference Paper]

G

Gallagher, Michael R. and Maxwell, Aaron E. and Guillén, Luis Andrés and Everland, Alexis and Loudermilk, E. Louise and Skowronski, Nicholas S. (2021). Estimation of Plot-Level Burn Severity Using Terrestrial Laser Scanning. Remote Sensing. 13 :20 , 4168
[Research article]

Goodbody, Tristan R. H. and Coops, Nicholas C. and Queinnec, Martin and White, Joanne C. and Tompalski, Piotr and Hudak, Andrew T. and Auty, David and Valbuena, Ruben and LeBoeuf, Antoine and Sinclair, Ian and McCartney, Grant and Prieur, Jean-Francois and Woods, Murray E. (2023). sgsR: a structurally guided sampling toolbox for LiDAR-based forest inventories. Forestry. 96 :4 , 411–424
[Research article]

Granholm, Ann-Helen (2016). Segmentation of forest patches and estimation of canopy cover using 3D information from stereo photogrammetry. Umeå : Sveriges lantbruksuniv.
ISBN 978-91-576-9399-0
eISBN 978-91-576-9400-3
[Licentiate thesis]

H

Hagemann, Niklas and Magdon, Paul and Schnell, Sebastian and Pommerening, Arne (2022). Analysing gap dynamics in forest canopies with landscape metrics based on multi-temporal airborne laser scanning surveys - A pilot study. Ecological Indicators. 145 , 109627
[Research article]

Hall, Ola and Dahlin, Sigrun and Marstorp, Håkan and Archila Bustos, Maria Francisca and Öborn, Ingrid and Jirström, Magnus (2018). Object-Oriented Classification of Maize from UAV Imagery in African mixed smallholder farming systems. Drones. 2 , 1-8
[Research article]

Heiskanen, Janne and Nilsson, Björn and Mäki, Ann-Helen and Allard, Anna and Moen, Jon and Holm, Sören and Sundquist, Sture and Olsson, Håkan (2008). Aerial photo interpretation for change detection of treeline ecotones in the Swedish mountains. Umeå: (S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management, Sveriges lantbruksuniversitet. Arbetsrapport / Sveriges lantbruksuniversitet, Institutionen för skoglig resurshushållning och geomatik ; 242
[Report]

Hentati-Sundberg, Jonas and Olin, Agnes and Reddy, Sheetal and Reddy, Mareddy and Kasarareni, Siddharta and Carlsen, Astrid and Hanes, Matilda and Kad, Shreyash and Olsson, Olof (2023). Seabird surveillance: combining CCTV and artificial intelligence for monitoring and research. Remote sensing in ecology and conservation. 9 :4 , 568 - 581
[Research article]

Hoffmann, Stephan and Schoenauer, Marian and Heppelmann, Joachim and Asikainen, Antti and Eberhard, Benno and Hasenauer, Hubert and Ivanovs, Janis and Jaeger, Dirk and Lazdins, Andis and Mohtashami, Sima and Moskalik, Tadeusz and Nordfjell, Tomas and Sterenczak, Krzysztof and Talbot, Bruce and Uusitalo, Jori and Astrup, Rasmus and Vuillermoz, Morgan and Cacot, Emmanuel (2022). Trafficability Prediction Using Depth-to-Water Maps: the Status of Application in Northern and Central European Forestry. Current Forestry Reports. 8 :1 , 55-71
[Research article]

Holmgren, Johan and Lindberg, Eva (2019). Tree crown segmentation based on a tree crown density model derived from Airborne Laser Scanning. Remote Sensing Letters. 10 , 1143-1152
[Research article]

Holmgren, Johan and Lindberg, Eva and Olofsson, Kenneth and Persson, Henrik (2022). Tree crown segmentation in three dimensions using density models derived from airborne laser scanning. International Journal of Remote Sensing. 43 , 299-329
[Research article]

Holmström, Hampus and Korosuo, Anu (2011). Framtidsanalyser av Vindelns lövvärdetrakt. I/In: Skötselförslag för Vindelns lövvärdetrakt : ett naturvårdsprojekt enligt landskapsstrategimodellen. Sid./p. 21. Umeå: Länsstyrelsen Västerbotten
[Book Chapter]

Hovi, Aarne and Lindberg, Eva and Lang, Mait and Arumae, Tauri and Peuhkurinen, Jussi and Sirparanta, Sanna and Pyankov, Sergey and Rautiainen, Miina (2019). Seasonal dynamics of albedo across European boreal forests: Analysis of MODIS albedo and structural metrics from airborne LiDAR. Remote Sensing of Environment. 224 , 365-381
[Research article]

Huo, Langning and Lindberg, Eva (2020). Individual tree detection using template matching of multiple rasters derived from multispectral airborne laser scanning data. International Journal of Remote Sensing. 41 , 9525-9544
[Research article]

Huo, Langning and Lindberg, Eva and Bohlin, Jonas and Persson, Henrik (2023). Assessing the detectability of European spruce bark beetle green attack in multispectral drone images with high spatial- and temporal resolutions. Remote Sensing of Environment. 287 , 113484
[Research article]

Huo, Langning and Lindberg, Eva and Fransson, Johan and Persson, Henrik (2022). Comparing Spectral Differences Between Healthy and Early Infested Spruce Forests Caused by Bark Beetle Attacks using Satellite Images. I/In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), JUL 17-22, 2022, Kuala Lumpur, MALAYSIA.
[Conference Paper]

Huo, Langning and Lindberg, Eva and Holmgren, Johan (2022). Towards low vegetation identification: A new method for tree crown segmentation from LiDAR data based on a symmetrical structure detection algorithm (SSD). Remote Sensing of Environment. 270 , 112857
[Research article]

Huo, Langning and Lindberg, Eva and Persson, Henrik (2020). Normalized Projected Red & SWIR (NPRS): A New Vegetation Index for Forest Health Estimation and Its Application on Spruce Bark Beetle Attack Detection. I/In: IGARSS 2020 Symposium, Remote Sensing for a Dynamic Earth. Virtual symposium 26 Sep - 2 Oct 2020..
[Conference Paper]

Huo, Langning and Strengbom, Joachim and Lundmark, Tomas and Westerfelt, Per and Lindberg, Eva (2023). Estimating the conservation value of boreal forests using airborne laser scanning. Ecological Indicators. 147 , 109946
[Research article]

Husson, Eva (2016). Images from unmanned aircraft systems for surveying aquatic and riparian vegetation. Diss. (sammanfattning/summary) Uppsala : Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880 ; 2016:115
ISBN 978-91-576-8733-3
eISBN 978-91-576-8734-0
[Doctoral thesis]

Huuva, Ivan (2023). Estimation of change in forest variables using synthetic aperture radar. Diss. (sammanfattning/summary) Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880
ISBN 978-91-8046-248-8
eISBN 978-91-8046-249-5
[Doctoral thesis]

Huuva, Ivan and Persson, Henrik and Soja, Maciej J. and Wallerman, Jörgen and Ulander, Lars M. H. and Fransson, Johan (2020). Predictions of Biomass Change in a Hemi-Boreal Forest Based on Multi-Polarization L- and P-Band SAR Backscatter. Canadian Journal of Remote Sensing. 46 , 661-680
[Research article]

Huuva, Ivan and Wallerman, Jörgen and Fransson, Johan E. S. and Persson, Henrik (2023). Prediction of Site Index and Age Using Time Series of TanDEM-X Phase Heights. Remote Sensing. 15 :17 , 4195
[Research article]

J

Jonsson, Ylva and Bohlin, Inka and Bohlin, Jonas and Fransson, Johan and Huo, Langning and Nilsson, Mats and Persson, Henrik and Wallerman, Jörgen (2022). Potential of mapping forest damage from remotely sensed data. (S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management, Sveriges lantbruksuniversitet. Arbetsrapport / Sveriges lantbruksuniversitet, Institutionen för skoglig resurshushållning ; 539
[Report]

Jonzén, Niclas and Nilsson, Mats and Olsson, Håkan and Larsson, Svante and Nilsson, Liselott and Persson, Anders (2016). Skogliga grunddata. Uppsala: (S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management, Sveriges lantbruksuniversitet. Fakta. Skog ; 2016:8
[Factsheet]

Junttila, Sofia and Kelly, Julia and Kljun, Natascha and Aurela, Mika and Klemedtsson, Leif and Lohila, Annalea and Nilsson, Mats and Rinne, Janne and Tuittila, Eeva-Stiina and Vestin, Patrik and Weslien, Per and Eklundh, Lars (2021). Upscaling Northern Peatland CO2 Fluxes Using Satellite Remote Sensing Data. Remote Sensing. 13 , 818
[Research article]

K

Karlson, Martin and Ostwald, Madelene and Reese, Heather and Sanou, J. and Tankoano, Boalidioa and Mattsson, Eskil (2015). Mapping Tree Canopy Cover and Aboveground Biomass in Sudano-Sahelian Woodlands Using Landsat 8 and Random Forest. Remote sensing. 7 :8 , 10017-10041
[Research article]

Kipkulei, Harison Kiplagat and Bellingrath-Kimura, Sonoko Dorothea and Lana, Marcos and Ghazaryan, Gohar and Boitt, Mark and Sieber, Stefan (2022). Modelling cropland expansion and its drivers in Trans Nzoia County, Kenya. Modeling Earth Systems and Environment. 8 :4 , 5761-5778
[Research article]

Klein, Julian and Haverkamp, Paul J. and Lindberg, Eva and Griesser, Michael and Eggers, Sönke (2020). Remotely sensed forest understory density and nest predator occurrence interact to predict suitable breeding habitat and the occurrence of a resident boreal bird species. Ecology and Evolution. 10 , 2238-2252
[Research article]

L

Larson, Johannes (2023). Soil moisture conditions control nutrient accumulation, carbon storage and tree growth in boreal forest landscapes. Diss. (sammanfattning/summary) Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880
ISBN 978-91-8046-246-4
eISBN 978-91-8046-247-1
[Doctoral thesis]

Larson, Johannes and Wallerman, Jörgen and Peichl, Matthias and Laudon, Hjalmar (2023). Soil moisture controls the partitioning of carbon stocks across a managed boreal forest landscape. Scientific Reports. 13 , 14909
[Research article]

Latifi, Hooman and Valbuena, Ruben and Silva, Carlos Alberto (2023). Towards complex applications of active remote sensing for ecology and conservation. Methods in Ecology and Evolution. 14 :7 , 1578-1586
[Editorial]

Li, Niwen and Huo, Langning and Zhang, Xiaoli (2023). Exploring Common Hyperspectral Features of Early-Stage Pine Wilt Disease at Different Scales, for Different Pine Species, and at Different Regions. I/In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 16-21 July, 2023, Pasadena, CA, USA.
[Conference Paper]

Lidberg, William (2019). Digital wet areas mapping. Diss. (sammanfattning/summary) Umeå : Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880 ; 2019:10
ISBN 978-91-7760-338-2
eISBN 978-91-7760-339-9
[Doctoral thesis]

Lindberg, Eva (2012). Estimation of canopy structure and individual trees from laser scanning data. Diss. (sammanfattning/summary) Umeå : Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880 ; 2012:33
ISBN 978-91-576-7669-6
[Doctoral thesis]

Lindberg, Eva and Eysn, Lothar and Hollaus, Markus and Holmgren, Johan and Pfeifer, Norbert (2014). Delineation of tree crowns and tree species classification from full-waveform airborne laser scanning data using 3-D ellipsoidal clustering. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7 :7 , 3174-3181
[Research article]

Lindberg, Eva and Hollaus, Markus (2012). Comparison of methods for estimation of stem volume, stem number and basal area from airborne laser scanning data in a hemi-boreal forest. Remote sensing. 4 :4 , 1004-1023
[Research article]

Lindberg, Eva and Holmgren, Johan (2014). Flygburen laserskanning för skogliga skattningar. Uppsala: (S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management, Sveriges lantbruksuniversitet. Fakta. Skog ; 2014:4
[Factsheet]

Lindberg, Eva and Holmgren, Johan (2017). Individual Tree Crown Methods for 3D Data from Remote Sensing. Current Forestry Reports. 3 , 19 - 31
[Article Review/Survey]

Lindberg, Eva and Holmgren, Johan and Olofsson, Kenneth and Wallerman, Jörgen and Olsson, Håkan (2013). Estimation of Tree Lists from Airborne Laser Scanning Using Tree Model Clustering and k-MSN Imputation. Remote Sensing. 5 , 1932-1955
[Research article]

Lindberg, Eva and Holmgren, Johan and Olsson, Håkan (2021). Classification of tree species classes in a hemi-boreal forest from multispectral airborne laser scanning data using a mini raster cell method. International Journal of Applied Earth Observation and Geoinformation. 100 , 102334
[Research article]

Lindberg, Eva and Lindberg, Eva and Roberge, Jean-Michel and Johansson, Therese and Hollaus, Markus and Holmgren, Johan and Hjältén, Joakim (2015). Individual tree properties from ALS data as input to habitat analysis in boreal forest. I/In: SilviLaser 2015 : 14th conference on Lidar Applications for Assessing and Managing Forest Ecosystems, 150928--150930, La Grande Motte, France.
[Conference Paper]

Lindgren, Nils (2021). Data assimilation of forest variables predicted from remote sensing data. Diss. (sammanfattning/summary) Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880
ISBN 978-91-7760-690-1
eISBN 978-91-7760-691-8
[Doctoral thesis]

Lindgren, Nils and Christensen, Pernilla and Nilsson, Björn and Åkerholm, Marianne and Allard, Anna and Reese, Heather and Olsson, Håkan (2015). Using optical satellite data and airborne lidar data for a nationwide sampling survey. Remote sensing. 7 :4 , 4253-4267
[Research article]

Lindgren, Nils and Nyström, Kenneth and Saarela, Svetlana and Olsson, Håkan and Ståhl, Göran (2022). Importance of Calibration for Improving the Efficiency of Data Assimilation for Predicting Forest Characteristics. Remote Sensing. 14 :18 , 4627
[Research article]

Lindgren, Nils and Olsson, Håkan and Nyström, Kenneth and Nyström, Mattias and Ståhl, Göran (2022). Data Assimilation of Growing Stock Volume Using a Sequence of Remote Sensing Data from Different Sensors. Canadian Journal of Remote Sensing, 48 (2). TAYLOR AND FRANCIS INC
[Book (author)]

M

Meliho, Modeste and Boulmane, Mohamed and Khattabi, Abdellatif and Dansou, Caleb Efelic and Orlando, Collins Ashianga and Mhammdi, Nadia and Noumonvi, Koffi Dodji (2023). Spatial Prediction of Soil Organic Carbon Stock in the Moroccan High Atlas Using Machine Learning. Remote Sensing. 15 :10 , 2494
[Research article]

Milenkovic, Milutin and Schnell, Sebastian and Holmgren, Johan and Ressi, Camillo and Lindberg, Eva and Hollaus, Markus and Pfeifer, Norbert and Olsson, Håkan (2017). Influence of footprint size and geolocation error on the precision of forest biomass estimates from space-borne waveform LiDAR. Remote Sensing of Environment. 200 , 74-88
[Research article]

Mohtashami, Sima (2022). GIS-based decision support systems to minimise soil impacts in logging operations. Diss. (sammanfattning/summary) Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880
ISBN 978-91-8046-010-1
eISBN 978-91-8046-011-8
[Doctoral thesis]

Mukhopadhyay, Ritwika and Naesset, Erik and Gobakken, Terje and Mienna, Ida Marielle and Bielza, Jaime Candelas and Austrheim, Gunnar and Persson, Henrik and orka, Hans Ole and Roald, Bjorn-Eirik and Bollandsas, Ole Martin (2023). Mapping and Estimating Aboveground Biomass in an Alpine Treeline Ecotone under Model-Based Inference. Remote Sensing. 15 :14 , 3508
[Research article]

Mukhopadhyay, Ritwika and Nilsson, Mats and Ekström, Magnus and Lindberg, Eva and Persson, Henrik (2023). Comparing TanDEM-X InSAR Forest Stand Volume Prediction Models Trained Using Field and ALS Data. I/In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023, 16 - 21 July, 2023, Pasadena, California, USA..
[Conference Paper]

N

Nilsson, Mats and Olsson, Håkan (2008). Fjärranalysmetoder för datainsamling vid skogsbruksplanläggning i privatskogsbruket. Umeå: (S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management, Sveriges lantbruksuniversitet. Arbetsrapport / Sveriges lantbruksuniversitet, Institutionen för skoglig resurshushållning och geomatik ; 226
[Report]

Nordkvist, Karin and Olsson, Håkan (2013). Laserskanning och digital fotogrammetri i skogsbruket. Umeå: (S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management, Sveriges lantbruksuniversitet. Arbetsrapport / Sveriges lantbruksuniversitet, Institutionen för skoglig resurshushållning och geomatik ; 388
[Report]

Noumonvi, Koffi Dodji and Oblisar, Gal and Zust, Ana and Vilhar, Ursa (2021). Empirical Approach for Modelling Tree Phenology in Mixed Forests Using Remote Sensing. Remote Sensing. 13 , 3015
[Research article]

Nyström, Mattias (2014). Mapping and monitoring of vegetation using airborne laser scanning. Diss. (sammanfattning/summary) Umeå : Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880 ; 2014:9
ISBN 978-91-576-7966-6
eISBN 978-91-576-7967-3
[Doctoral thesis]

Nyström, Mattias and Lindgren, Nils and Wallerman, Jörgen and Ehlers, Sarah and Grafström, Anton and Muszta, Anders and Nyström, Kenneth and Willén, Erik and Fransson, Johan E.S. and Bohlin, Jonas and Olsson, Håkan and Ståhl, Göran (2015). Assimilating remote sensing data with forest growth models.
[Conference abstract]

Nyström, Mattias and Lindgren, Nils and Wallerman, Jörgen and Grafström, Anton and Muszta, Anders and Nyström, Kenneth and Bohlin, Jonas and Fransson, Johan E.S. and Ehlers, Sarah and Olsson, Håkan and Ståhl, Göran (2015). Data assimilation in forest inventory: first empirical results. Forests. 6 :12 , 4540-4557
[Research article]

Nyström, Mattias and Lindgren, Nils and Wallerman, Jörgen and Grafström, Anton and Muszta, Anders and Nyström, Kenneth and Ståhl, Göran and Olsson, Håkan (2015). Data assimilation in forest inventory, first empirical results using ALS data. I/In: SilviLaser 2015, 28 - 30 September 2015, La Grand Motte, France.
[Conference Paper]

O

Olofsson, Kenneth and Holmgren, Johan (2022). Co-registration of single tree maps and data captured by a moving sensor using stem diameter weighted linking. Silva Fennica. 56 :3 , 10712
[Research article]

Olofsson, Kenneth and Holmgren, Johan (2023). Stem Quality Estimates Using Terrestrial Laser Scanning Voxelized Data and a Voting-Based Branch Detection Algorithm. Remote Sensing. 15 :8 , 2082
[Research article]

Olofsson, Kenneth and Holmgren, Johan and Lindberg, Eva and Nyström, Mattias and Olsson, Håkan (2017). Markbaserad laserskanning - ger stammars form och läge. Uppsala: (S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management, Sveriges lantbruksuniversitet. Fakta. Skog ; 2017:2
[Factsheet]

Olsson, Per-Ola and Vivekar, Ashish and Adler, Karl and Garcia Millan, Virginia E. and Koc, Alexander and Alamrani, Marwan and Eklundh, Lars (2021). Radiometric Correction of Multispectral UAS Images: Evaluating the Accuracy of the Parrot Sequoia Camera and Sunshine Sensor. Remote Sensing. 13 , 577
[Research article]

P

Palencia, Pablo and Barroso, Patricia and Vicente, Joaquín and Hofmeester, Tim and Ferreres, Javier and Acevedo, Pelayo (2022). Random encounter model is a reliable method for estimating population density of multiple species using camera traps. Remote sensing in ecology and conservation. 8 :5 , 670-682
[Research article]

Peng, Junxiang and Zeiner, Niklas and Parsons, David and Féret, Jean-Baptiste and Söderström, Mats and Morel, Julien (2023). Forage biomass estimation using sentinel-2 imagery at high latitudes. Remote Sensing. 15 :9 , 2350
[Research article]

Persson, Magnus and Lindberg, Eva and Reese, Heather (2018). Tree Species Classification with Multi-Temporal Sentinel-2 Data. Remote Sensing. 10 , 1794
[Research article]

Persson, Henrik (2016). Estimation of boreal forest attributes from very high resolution pleiades data. Remote sensing. 8 :9 , 1-19
[Research article]

Persson, Henrik (2014). Estimation of forest parameters using 3D satellite data. Diss. (sammanfattning/summary) Umeå : Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880 ; 2014:84
ISBN 978-91-576-8116-4
eISBN 978-91-576-8117-1
[Doctoral thesis]

Persson, Henrik and Ekström, Magnus and Ståhl, Göran (2022). Quantify and account for field reference errors in forest remote sensing studies. Remote Sensing of Environment. 283 , 113302
[Research article]

Persson, Henrik and Fransson, Johan (2016). Estimating site index from short term TanDEM-X canopy height models. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9 :8 , 3598-3606
[Research article]

Persson, Henrik and Fransson, Johan E.S. (2013). Estimation of forest variables using radargrammetry on TerraSAR-X data in combination with a high resolution DEM. I/In: Living Planet Symposium, 9-13 September 2013, Edinburgh, UK.
[Conference Paper]

Persson, Henrik and Jonzen, Jonas and Nilsson, Mats (2021). Combining TanDEM-X and Sentinel-2 for large-area species-wise prediction of forest biomass and volume. International Journal of Applied Earth Observation and Geoinformation. 96 , 102275
[Research article]

Persson, Henrik and Olofsson, Kenneth and Holmgren, Johan (2021). Impact of sample size – empirical results from a hybrid inference two-phase inventory based on dense laser scanning. I/In: SilviLaser Conference 2021, 210928-210930, Vienna, Austria.
[Conference Paper]

Persson, Henrik and Olofsson, Kenneth and Holmgren, Johan (2022). Two-phase forest inventory using very-high-resolution laser scanning. Remote Sensing of Environment. 271 , 112909
[Research article]

Persson, Henrik and Perko, Roland (2016). Assessment of boreal forest height from WorldView-2 satellite stereo images. Remote sensing letters. 7 :12 , 1150-1159
[Research article]

Persson, Henrik and Soja, Maciej J. and Fransson, Johan and Ulander, Lars M. H. (2020). National Forest Biomass Mapping Using the Two-Level Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13 , 6391-6400
[Research article]

Persson, Henrik and Soja, Maciej J. and Olsson, Håkan and Fransson, Johan E.S. (2015). Satellitbaserade 3D-data till hjälp för skogliga skattningar. Uppsala: (S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management, Sveriges lantbruksuniversitet. Fakta. Skog ; 2015:1
[Factsheet]

Persson, Henrik and Ståhl, Göran (2020). Characterizing Uncertainty in Forest Remote Sensing Studies. Remote Sensing. 12 , 1-21
[Research article]

Pfeffer, Sabine and Spitzer, Robert and Allen, Andrew and Hofmeester, Tim and Ericsson, Göran and Widemo, Fredrik and Singh, Navinder and Cromsigt, Joris (2018). Pictures or pellets? Comparing camera trapping and dung counts as methods for estimating population densities of ungulates. Remote Sensing in Ecology and Conservation. 4 , 173-183
[Research article]

Pommerening, Arne and Gaulton, Rachel and Magdon, Paul and Myllymaki, Mari (2021). CanopyShotNoise - An individual-based tree canopy modelling framework for projecting remote-sensing data and ecological sensitivity analysis. International Journal of Remote Sensing. 42 , 6837-6865
[Research article]

R

Ramezani , Habib and Holm, Sören (2011). A distance dependent contagion function for vector-based data. Environmental and ecological statistics. online , 1-24
[Research article]

Reese, Heather (2011). Classification of Sweden’s forest and alpine vegetation using optical satellite and inventory data. Diss. (sammanfattning/summary) Umeå : Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880 ; 2011:86
ISBN 978-91-576-7630-6
[Doctoral thesis]

Reese, Heather and Nilsson, Mats and Olsson, Håkan (2009). Comparison of Resourcesat-1 AWiFS and SPOT-5 data over managed boreal forest stands. International journal of remote sensing. 30 :19 , 4957-4978
[Research article]

Reese, Heather and Nilsson, Mats and Olsson, Håkan (2007). Using MERIS for mountain vegetation mapping and monitoring in Sweden. I/In: ENVISAT Symposium , 23-27 April 2007, Montreux, Switzerland.
[Conference Paper]

Reese, Heather and Olsson, Håkan (2011). C-correction of optical satellite data over alpine vegetation areas : a comparison of sampling strategies for determining the empirical c-parameter. Remote sensing of environment. 115 :6 , 1387-1400
[Research article]

S

Sandström, Per (2015). A toolbox for co-production of knowledge and improved land use dialogues. Diss. (sammanfattning/summary) Umeå : Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880 ; 2015:20
ISBN 978-91-576-8238-3
eISBN 978-91-576-8239-0
[Doctoral thesis]

Sang, Neil (2023). Does Time Smoothen Space? Implications for Space-Time Representation. ISPRS international journal of geo-information. 12 :3 , 119
[Research article]

Santoro, Maurizio and Cartus, Oliver and Fransson, Johan E. S. and Shvidenko, Anatoly and McCallum, Ian and Hall, Ronald J. and Beaudoin, Andre and Beer, Christian and Schmullius, Christiane (2013). Estimates of forest growing stock volume for Sweden, Central Siberia, and Quebec using envisat advanced synthetic aperture radar backscatter data. Remote sensing. 5 :9 , 4503-4532
[Research article]

Scheeres, Janneke and de Jong, Johan and Brede, Benjamin and Broadbent, Eben Noth and Zambrano, Angelica Maria Almeyda and Gorgens, Eric Bastos and Silva, Carlos Alberto and Valbuena, Ruben and Molin, Paulo and Stark, Scott and Rodrigues, Ribeiro and Alves Almeida, Danilo Roberti (2023). Distinguishing forest types in restored tropical landscapes with UAV-borne LIDAR. Remote Sensing of Environment. 290 , 113533
[Research article]

Shen, Zefang and Ramirez-Lopez, Leonardo and Behrens, Thorsten and Cui, Lei and Zhang, Mingxi and Walden, Lewis and Wetterlind, Johanna and Shi, Zhou and Sudduth, Kenneth A. and Song, Yongze and Catambay, Kevin and Rossel, Raphael A. Viscarra (2022). Deep transfer learning of global spectra for local soil carbon monitoring. ISPRS Journal of Photogrammetry and Remote Sensing. 188 , 190-200
[Research article]

Shirvani, Zeinab and Abdi, Omid and Goodman, Rosa (2023). High-Resolution Semantic Segmentation of Woodland Fires Using Residual Attention UNet and Time Series of Sentinel-2. Remote Sensing. 15 :5 , 1342
[Research article]

Sieber, Petra and Ericsson, Niclas and Hammar, Torun and Hansson, Per-Anders (2022). Albedo impacts of current agricultural land use: Crop-speciﬁc albedo from MODIS data and inclusion in LCA of crop production. Science of the Total Environment. 835 , 155455
[Research article]

Skånes, Helle and Glimskär, Anders and Allard, Anna (2011). EMMA T1 initial report. Umeå: (S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management, Sveriges lantbruksuniversitet. Arbetsrapport / Sveriges lantbruksuniversitet, Institutionen för skoglig resurshushållning och geomatik ; 314
[Report]

Stoddart, Jaz and Alves de Almeida, Danilo Roberti and Silva, Carlos Alberto and Gorgens, Eric Bastos and Keller, Michael and Valbuena, Ruben (2022). A Conceptual Model for Detecting Small-Scale Forest Disturbances Based on Ecosystem Morphological Traits. Remote Sensing. 14 :4 , 933
[Research article]

Strimbu, Victor F. and Naesset, Erik and Orka, Hans Ole and Liski, Jari and Petersson, Hans and Gobakken, Terje (2023). Estimating biomass and soil carbon change at the level of forest stands using repeated forest surveys assisted by airborne laser scanner data. Carbon Balance and Management. 18 :1 , 10
[Research article]

Söderström, Mats and Eriksson, Jan and Isendahl, Christian and Schaan, Denise and Stenborg, Per and Rebellato, Lilian and Piikki, Kristin (2016). Sensor mapping of amazonian dark earths in deforested croplands. Geoderma. 281 , 58-68
[Research article]

Söderström, Mats and Piikki, Kristin and Stenberg, Maria and Stadig, Henrik and Martinsson, Johan (2017). Producing nitrogen (N) uptake maps in winter wheat by combining proximal crop measurements with Sentinel-2 and DMC satellite images in a decision support system for farmers. Acta agriculturae Scandinavica. Section B, Soil and plant science. 67 , 637-650
[Research article]

Söderström, Mats and Sohlenius, Gustav and Rodhe, Lars and Piikki, Kristin (2016). Adaptation of regional digital soil mapping for precision agriculture. Precision agriculture. 17 :5 , 588-607
[Research article]

T

Turubanova, Svetlana and Potapov, Peter and Hansen, Matthew C. and Li, Xinyuan and Tyukavina, Alexandra and Pickens, Amy H. and Hernandez-Serna, Andres and Arranz, Adrian Pascual and Guerra-Hernandez, Juan and Senf, Cornelius and Hame, Tuomas and Valbuena, Ruben and Eklundh, Lars and Brovkina, Olga and Navrátilová, Barbora and Novotny, Jan and Harris, Nancy and Stolle, Fred (2023). Tree canopy extent and height change in Europe, 2001-2021, quantified using Landsat data archive. Remote Sensing of Environment. 298 , 113797
[Research article]

ter Borg, Rebecca Naomi and Barron, Jennie (2022). Development of constructed wetlands in agricultural landscapes using remote sensing techniques. Acta Agriculturae Scandinavica, Section B - Soil & Plant Science. 72 :1 , 111-126
[Research article]

U

Udali, Alberto and Lingua, Emanuele and Persson, Henrik (2021). Assessing Forest Type and Tree Species Classification Using Sentinel-1 C-Band SAR Data in Southern Sweden. Remote Sensing. 13 , 3237
[Research article]

V

Varvia, P. and Korhonen, L. and Bruguiere, A. and Toivonen, J. and Packalen, P. and Maltamo, M. and Saarela, Svetlana and Popescu, S. C. (2022). How to consider the effects of time of day, beam strength, and snow cover in ICESat-2 based estimation of boreal forest biomass? Remote Sensing of Environment. 280 , 113174
[Research article]

Vaudour, Emmanuelle and Gholizadeh, Asa and Castaldi, Fabio and Saberioon, Mohammadmehdi and Boruvka, Lubos and Urbina-Salazar, Diego and Fouad, Youssef and Arrouays, Dominique and Richer-de-Forges, Anne C. and Biney, James and Wetterlind, Johanna and Van Wesemael, Bas (2022). Satellite Imagery to Map Topsoil Organic Carbon Content over Cultivated Areas: An Overview. Remote Sensing. 14 :12 , 2917
[Article Review/Survey]

W

Wang, Zhao and Shi, Jiang and Sun, Sashuang and Zhu, Lijun and He, Yiyin and Jin, Rong and Letan, Luo and Zhao, Lin and Peng, Junxiang and Zhou, Zhenjiang (2022). Estimation of Dry Matter and N Nutrient Status of Choy Sum by Analyzing Canopy Images and Plant Height Information. Remote Sensing. 14 :16 , 3964
[Research article]

Wetterlind, Johanna and Stenberg, Bo (2010). Near infrared spectroscopy for within-field soil characterisation – Small local calibrations compared with national libraries spiked with local samples. European journal of soil science. 61 :6 , 823-843
[Research article]

Wetterlind, Johanna and Stenberg, Bo and Söderström, Mats (2010). Increased sample point density in farm soil mapping by local calibration of visible and near infrared prediction models. Geoderma. 156 :3-4 , 152-160
[Research article]

Wolters, Sandra (2022). Towards synthesis for nitrogen fertilisation using a decision support system. Diss. (sammanfattning/summary) Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880
ISBN 978-91-7760-993-3
eISBN 978-91-7760-994-0
[Doctoral thesis]

Wästlund, André and Holmgren, Johan and Lindberg, Eva and Olsson, Håkan (2018). Forest Variable Estimation Using a High Altitude Single Photon Lidar System. Remote Sensing. 10 , 1442
[Research article]

Z

Zhang, Ning and Chai, Xiujuan and Li, Niwen and Zhang, Jianhua and Sun, Tan (2023). Applicability of UAV-based optical imagery and classification algorithms for detecting pine wilt disease at different infection stages. GIScience and Remote Sensing. 60 :1 , 2170479
[Research article]

Zhang, Shuping and Rutgersson, Anna and Philipson, Petra and Wallin, Marcus (2021). Remote Sensing Supported Sea Surface pCO(2) Estimation and Variable Analysis in the Baltic Sea. Remote Sensing. 13 , 259
[Research article]

This list was generated on Thu Nov 30 03:05:32 2023 CET.