Remote Sensing

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  • 2024 Journal Article
    ​ ​Evaluating Different Deep Learning Approaches for Tree Health Classification Using High-Resolution Multispectral UAV Data in the Black Forest, Harz Region, and Göttinger Forest​
    Anwander, J.; Brandmeier, M.; Paczkowski, S.; Neubert, T. & Paczkowska, M.​ (2024) 
    Remote Sensing16(3) pp. 561​.​ DOI: https://doi.org/10.3390/rs16030561 
    Details  DOI 
  • 2023 Journal Article | 
    ​ ​Hyperspectral Imaging of Adaxial and Abaxial Leaf Surfaces for Rapid Assessment of Foliar Nutrient Concentrations in Hass Avocado​
    Hapuarachchi, N. S.; Trueman, S. J.; Kämper, W.; Farrar, M. B.; Wallace, H. M.; Nichols, J. & Bai, S. H.​ (2023) 
    Remote Sensing15(12).​ DOI: https://doi.org/10.3390/rs15123100 
    Details  DOI 
  • 2023 Journal Article | 
    ​ ​ECOSTRESS Reveals the Importance of Topography and Forest Structure for Evapotranspiration from a Tropical Forest Region of the Andes​
    Valdés-Uribe, A.; Hölscher, D. & Röll, A.​ (2023) 
    Remote Sensing15(12).​ DOI: https://doi.org/10.3390/rs15122985 
    Details  DOI 
  • 2023 Journal Article | 
    ​ ​An Overview of the PAKF-JPDA Approach for Elliptical Multiple Extended Target Tracking Using High-Resolution Marine Radar Data​
    Fowdur, J. S.; Baum, M.; Heymann, F. & Banys, P.​ (2023) 
    Remote Sensing15(10).​ DOI: https://doi.org/10.3390/rs15102503 
    Details  DOI 
  • 2023 Journal Article | 
    ​ ​The Impacts of Quality-Oriented Dataset Labeling on Tree Cover Segmentation Using U-Net: A Case Study in WorldView-3 Imagery​
    Jiang, T.; Freudenberg, M.; Kleinn, C.; Ecker, A. & Nölke, N.​ (2023) 
    Remote Sensing15(6).​ DOI: https://doi.org/10.3390/rs15061691 
    Details  DOI 
  • 2023 Journal Article | 
    ​ ​A Multisensor UAV Payload and Processing Pipeline for Generating Multispectral Point Clouds​
    Vlaminck, M.; Diels, L.; Philips, W.; Maes, W.; Heim, R.; Wit, B. D. & Luong, H.​ (2023) 
    Remote Sensing15(6).​ DOI: https://doi.org/10.3390/rs15061524 
    Details  DOI 
  • 2023 Journal Article | 
    ​ ​Mapping Vegetation Index-Derived Actual Evapotranspiration across Croplands Using the Google Earth Engine Platform​
    Abbasi, N.; Nouri, H.; Didan, K.; Barreto-Muñoz, A.; Chavoshi Borujeni, S.; Opp, C. & Nagler, P. et al.​ (2023) 
    Remote Sensing15(4).​ DOI: https://doi.org/10.3390/rs15041017 
    Details  DOI 
  • 2023 Journal Article | 
    ​ ​What Are We Missing? Occlusion in Laser Scanning Point Clouds and Its Impact on the Detection of Single-Tree Morphologies and Stand Structural Variables​
    Mathes, T.; Seidel, D.; Häberle, K.-H.; Pretzsch, H. & Annighöfer, P.​ (2023) 
    Remote Sensing15(2).​ DOI: https://doi.org/10.3390/rs15020450 
    Details  DOI 
  • 2023 Journal Article
    ​ ​Tree Stem Detection and Crown Delineation in a Structurally Diverse Deciduous Forest Combining Leaf-On and Leaf-Off UAV-SfM Data​
    Dietenberger, S.; Mueller, M. M.; Bachmann, F.; Nestler, M.; Ziemer, J.; Metz, F. & Heidenreich, M. G. et al.​ (2023) 
    Remote Sensing15(18) pp. 4366​.​ DOI: https://doi.org/10.3390/rs15184366 
    Details  DOI 
  • 2022 Journal Article | 
    ​ ​Plant Density Estimation Using UAV Imagery and Deep Learning​
    Peng, J.; Rezaei, E. E.; Zhu, W.; Wang, D.; Li, H.; Yang, B. & Sun, Z.​ (2022) 
    Remote Sensing14(23).​ DOI: https://doi.org/10.3390/rs14235923 
    Details  DOI 
  • 2022 Journal Article | Research Paper | 
    ​ ​The Optimal Phenological Phase of Maize for Yield Prediction with High-Frequency UAV Remote Sensing​
    Yang, B.; Zhu, W.; Rezaei, E. E.; Li, J.; Sun, Z. & Zhang, J.​ (2022) 
    Remote Sensing14(7).​ DOI: https://doi.org/10.3390/rs14071559 
    Details  DOI 
  • 2022 Journal Article | Research Paper | 
    ​ ​Determination of the Optimal Orientation of Chinese Solar Greenhouses Using 3D Light Environment Simulations​
    Liu, A.; Xu, D.; Henke, M.; Zhang, Y.; Li, Y.; Liu, X. & Li, T.​ (2022) 
    Remote Sensing14(4).​ DOI: https://doi.org/10.3390/rs14040912 
    Details  DOI 
  • 2022 Journal Article | Research Paper | 
    ​ ​Fractional Vegetation Cover Derived from UAV and Sentinel-2 Imagery as a Proxy for In Situ FAPAR in a Dense Mixed-Coniferous Forest?​
    Putzenlechner, B. ; Marzahn, P.; Koal, P. & Sánchez-Azofeifa, A.​ (2022) 
    Remote Sensing14(2).​ DOI: https://doi.org/10.3390/rs14020380 
    Details  DOI 
  • 2022 Journal Article | Research Paper | 
    ​ ​What Are Contemporary Mexican Conifers Telling Us? A Perspective Offered from Tree Rings Linked to Climate and the NDVI along a Spatial Gradient​
    Pompa-García, M.; Vivar-Vivar, E. D.; Sigala-Rodríguez, J. A. & Padilla-Martínez, J. R. ​ (2022) 
    Remote Sensing14(18) art. rs14184506​.​ DOI: https://doi.org/10.3390/rs14184506 10.3390/rs14184506 
    Details  DOI; DOI 
  • 2022 Journal Article | Research Paper | 
    ​ ​Climate Sensitivity of the Arid Scrublands on the Tibetan Plateau Mediated by Plant Nutrient Traits and Soil Nutrient Availability​
    Chen, B.; Chen, H.; Li, M.; Fiedler, S. ; Mărgărint, M. C.; Nowak, A. & Wesche, K. et al.​ (2022) 
    Remote Sensing14(18) pp. 4601​.​ DOI: https://doi.org/10.3390/rs14184601 
    Details  DOI 
  • 2021 Journal Article | Research Paper | 
    ​ ​Estimating actual evapotranspiration over croplands using vegetation index methods and dynamic harvested area​
    Abbasi, N.; Nouri, H. ; Didan, K.; Barreto-Muñoz, A.; Chavoshi Borujeni, S.; Salemi, H. & Opp, C. et al.​ (2021) 
    Remote Sensing13(24) pp. 5167​.​ DOI: https://doi.org/10.3390/rs13245167 
    Details  DOI 
  • 2021 Journal Article | Research Paper | 
    ​ ​Using Airborne Laser Scanning to Characterize Land-Use Systems in a Tropical Landscape Based on Vegetation Structural Metrics​
    Camarretta, N. ; Ehbrecht, M.; Seidel, D. ; Wenzel, A. ; Zuhdi, M.; Merk, M. S. & Schlund, M.  et al.​ (2021) 
    Remote Sensing13(23) art. 4794​.​ DOI: https://doi.org/10.3390/rs13234794 
    Details  DOI 
  • 2021 Journal Article | Research Paper | 
    ​ ​Quantifying Understory Complexity in Unmanaged Forests Using TLS and Identifying Some of Its Major Drivers​
    Seidel, D. ; Annighöfer, P.; Ammer, C. ; Ehbrecht, M.; Willim, K.; Bannister, J. & Soto, D. P.​ (2021) 
    Remote Sensing13(8) pp. 1513​.​ DOI: https://doi.org/10.3390/rs13081513 
    Details  DOI 
  • 2021 Journal Article | 
    ​ ​The Horizontal Distribution of Branch Biomass in European Beech: A Model Based on Measurements and TLS Based Proxies​
    Pérez-Cruzado, C. ; Kleinn, C. ; Magdon, P. ; Álvarez-González, J. G.; Magnussen, S. ; Fehrmann, L.   & Nölke, N. ​ (2021) 
    Remote Sensing13(5) pp. 1041​.​ DOI: https://doi.org/10.3390/rs13051041 
    Details  DOI 
  • 2021 Journal Article | Research Paper | 
    ​ ​Riparian Area Changes in Greenness and Water Use on the Lower Colorado River in the USA from 2000 to 2020​
    Nagler, P. L.; Barreto-Muñoz, A.; Chavoshi Borujeni, S.; Nouri, H. ; Jarchow, C. J. & Didan, K.​ (2021) 
    Remote Sensing13(7) art. 1332​.​ DOI: https://doi.org/10.3390/rs13071332 
    Details  DOI 
  • 2021 Journal Article | 
    ​ ​Quantifying Crown Morphology of Mixed Pine-Oak Forests Using Terrestrial Laser Scanning​
    Uzquiano, S.; Barbeito, I.; San Martín, R.; Ehbrecht, M.; Seidel, D.   & Bravo, F.​ (2021) 
    Remote Sensing13(23) pp. 4955​.​ DOI: https://doi.org/10.3390/rs13234955 
    Details  DOI 
  • 2021 Journal Article | 
    ​ ​Measuring the Contribution of Leaves to the Structural Complexity of Urban Tree Crowns with Terrestrial Laser Scanning​
    Arseniou, G.; MacFarlane, D. W. & Seidel, D. ​ (2021) 
    Remote Sensing13(14) pp. 2773​.​ DOI: https://doi.org/10.3390/rs13142773 
    Details  DOI 
  • 2021 Journal Article | Research Paper | 
    ​ ​Handheld Laser Scanning Detects Spatiotemporal Differences in the Development of Structural Traits among Species in Restoration Plantings​
    Camarretta, N. ; Harrison, P. A.; Lucieer, A.; Potts, B. M.; Davidson, N. & Hunt, M.​ (2021) 
    Remote Sensing13(9) pp. 1706​.​ DOI: https://doi.org/10.3390/rs13091706 
    Details  DOI 
  • 2021 Journal Article | 
    ​ ​Woody Surface Area Measurements with Terrestrial Laser Scanning Relate to the Anatomical and Structural Complexity of Urban Trees​
    Arseniou, G.; MacFarlane, D. W. & Seidel, D. ​ (2021) 
    Remote Sensing13(16) pp. 3153​.​ DOI: https://doi.org/10.3390/rs13163153 
    Details  DOI 
  • 2021 Journal Article | 
    ​ ​Quick Detection of Field-Scale Soil Comprehensive Attributes via the Integration of UAV and Sentinel-2B Remote Sensing Data​
    Zhu, W.; Rezaei, E. E.; Nouri, H.; Yang, T.; Li, B.; Gong, H. & Lyu, Y. et al.​ (2021) 
    Remote Sensing13(22) pp. 4716​.​ DOI: https://doi.org/10.3390/rs13224716 
    Details  DOI 
  • 2020 Journal Article | Research Paper | 
    ​ ​Influence of Spatial Resolution on Remote Sensing-Based Irrigation Performance Assessment Using WaPOR Data​
    Blatchford, M.; M. Mannaerts, C.; Zeng, Y.; Nouri, H.   & Karimi, P.​ (2020) 
    Remote Sensing12(18) art. 2949​.​ DOI: https://doi.org/10.3390/rs12182949 
    Details  DOI 
  • 2020 Journal Article | Research Paper | 
    ​ ​Validation of Space-Based Albedo Products from Upscaled Tower-Based Measurements Over Heterogeneous and Homogeneous Landscapes​
    Song, R.; Muller, J.-P.; Kharbouche, S.; Yin, F.; Woodgate, W.; Kitchen, M. & Roland, M. et al.​ (2020) 
    Remote Sensing12(5) pp. 833​.​ DOI: https://doi.org/10.3390/rs12050833 
    Details  DOI 
  • 2020 Journal Article | 
    ​ ​Spatial Patterns of Structural Complexity in Differently Managed and Unmanaged Beech-Dominated Forests in Central Europe​
    Willim, K.; Stiers, M.; Annighöfer, P. ; Ehbrecht, M.; Ammer, C.   & Seidel, D. ​ (2020) 
    Remote Sensing12(12) pp. 1907​.​ DOI: https://doi.org/10.3390/rs12121907 
    Details  DOI 
  • 2020 Journal Article | Research Paper | 
    ​ ​Airborne Tree Crown Detection for Predicting Spatial Heterogeneity of Canopy Transpiration in a Tropical Rainforest​
    Ahongshangbam, J.; Röll, A. ; Ellsäßer, F.; Hendrayanto, H. & Hölscher, D. ​ (2020) 
    Remote Sensing12(4) pp. 651​.​ DOI: https://doi.org/10.3390/rs12040651 
    Details  DOI 
  • 2020 Journal Article | Research Paper | 
    ​ ​A Spatially Transferable Drought Hazard and Drought Risk Modeling Approach Based on Remote Sensing Data​
    Schwarz, M.; Landmann, T.; Cornish, N.; Wetzel, K.-F.; Siebert, S.   & Franke, J.​ (2020) 
    Remote Sensing12(2) art. 237​.​ DOI: https://doi.org/10.3390/rs12020237 
    Details  DOI 
  • 2020 Journal Article | Research Paper | 
    ​ ​From Drones to Phenotype: Using UAV-LiDAR to Detect Species and Provenance Variation in Tree Productivity and Structure​
    Camarretta, N. ; A. Harrison, P.; Lucieer, A.; M. Potts, B.; Davidson, N. & Hunt, M.​ (2020) 
    Remote Sensing12(19) pp. 3184​.​ DOI: https://doi.org/10.3390/rs12193184 
    Details  DOI 
  • 2020 Journal Article | 
    ​ ​Deriving Stand Structural Complexity from Airborne Laser Scanning Data—What Does It Tell Us about a Forest?​
    Seidel, D. ; Annighöfer, P. J. ; Ehbrecht, M.; Magdon, P. ; Wöllauer, S. & Ammer, C. ​ (2020) 
    Remote Sensing12(11) art. 1854​.​ DOI: https://doi.org/10.3390/rs12111854 
    Details  DOI 
  • 2020 Journal Article | 
    ​ ​Spatio-Temporal Dynamics of Algae and Macrophyte Cover in Urban Lakes: A Remote Sensing Analysis of Bellandur and Varthur Wetlands in Bengaluru, India​
    Bareuther, M.; Klinge, M.   & Buerkert, A. ​ (2020) 
    Remote Sensing12(22) pp. 3843​.​ DOI: https://doi.org/10.3390/rs12223843 
    Details  DOI 
  • 2020 Journal Article | 
    ​ ​Towards Tree Green Crown Volume: A Methodological Approach Using Terrestrial Laser Scanning​
    Zhu, Z.; Kleinn, C.   & Nölke, N. ​ (2020) 
    Remote Sensing12(11) pp. 1841​.​ DOI: https://doi.org/10.3390/rs12111841 
    Details  DOI 
  • 2020 Journal Article | 
    ​ ​Extreme Climate Event and Its Impact on Landscape Resilience in Gobi Region of Mongolia​
    Vova, O.; Kappas, M. ; Renchin, T. & Fassnacht, S. R.​ (2020) 
    Remote Sensing12(18) pp. 2881​.​ DOI: https://doi.org/10.3390/rs12182881 
    Details  DOI 
  • 2020 Journal Article | 
    ​ ​ALS-Based Detection of Past Human Activities in the Białowieża Forest—New Evidence of Unknown Remains of Past Agricultural Systems​
    Stereńczak, K.; Zapłata, R.; Wójcik, J.; Kraszewski, B.; Mielcarek, M.; Mitelsztedt, K. & Białczak, M. et al.​ (2020) 
    Remote Sensing12(16) pp. 2657​.​ DOI: https://doi.org/10.3390/rs12162657 
    Details  DOI 
  • 2020 Journal Article | Research Paper | 
    ​ ​Analysis of Drought Impact on Croplands from Global to Regional Scale: A Remote Sensing Approach​
    Ghazaryan, G.; König, S.; Siebert, S. ; Dubovyk, O. & Rezaei, E. E.​ (2020) 
    Remote Sensing12(24) art. 4030​.​ DOI: https://doi.org/10.3390/rs12244030 
    Details  DOI 
  • 2020 Journal Article | Research Paper | 
    ​ ​Predicting Tree Sap Flux and Stomatal Conductance from Drone-Recorded Surface Temperatures in a Mixed Agroforestry System—A Machine Learning Approach​
    Ellsäßer, F.; Röll, A.; Ahongshangbam, J.; Waite, P.-A.; Hendrayanto, n.; Schuldt, B. & Hölscher, D. ​ (2020) 
    Remote Sensing12(24) pp. 4070​.​ DOI: https://doi.org/10.3390/rs12244070 
    Details  DOI 
  • 2019 Journal Article | Research Paper
    ​ ​Estimating Maize Above-Ground Biomass Using 3D Point Clouds of Multi-Source Unmanned Aerial Vehicle Data at Multi-Spatial Scales​
    Wanxue, Z.; Zhigang, S.; Jinbang, P.; Yaohuan, H.; Jing, L.; Junqiang, Z. & Bin, Y. et al.​ (2019) 
    Remote Sensing11(22) art. 2678​.​
    Details 
  • 2019 Journal Article | 
    ​ ​Influence of Drone Altitude, Image Overlap, and Optical Sensor Resolution on Multi-View Reconstruction of Forest Images​
    Seifert, E.; Seifert, S. ; Vogt, H.; Drew, D.; van Aardt, J.; Kunneke, A. & Seifert, T.​ (2019) 
    Remote Sensing11(10) pp. 1252​.​ DOI: https://doi.org/10.3390/rs11101252 
    Details  DOI 
  • 2019 Journal Article | Research Paper | 
    ​ ​Large Scale Palm Tree Detection In High Resolution Satellite Images Using U-Net​
    Freudenberg, M.; Nölke, N.; Urban, K.; Wörgötter, F.; Kleinn, C. & Agostini, A.​ (2019) 
    Remote Sensing11(3) art. 312​.​ DOI: https://doi.org/10.3390/rs11030312 
    Details  DOI 
  • 2019 Journal Article | 
    ​ ​Combining Multiband Remote Sensing and Hierarchical Distance Sampling to Establish Drivers of Bird Abundance​
    Richter, R.; Heim, A.; Heim, W.; Kamp, J.   & Vohland, M.​ (2019) 
    Remote Sensing12(1) pp. 38​.​ DOI: https://doi.org/10.3390/rs12010038 
    Details  DOI 
  • 2019 Journal Article | 
    ​ ​Response of Beech (Fagus sylvatica L.) Trees to Competition—New Insights from Using Fractal Analysis​
    Dorji, Y.; Annighöfer, P. ; Ammer, C.   & Seidel, D. ​ (2019) 
    Remote Sensing11(22) pp. 2656​.​ DOI: https://doi.org/10.3390/rs11222656 
    Details  DOI 
  • 2019 Journal Article | 
    ​ ​Optical and SAR Remote Sensing Synergism for Mapping Vegetation Types in the Endangered Cerrado/Amazon Ecotone of Nova Mutum—Mato Grosso​
    de Souza Mendes, F.; Baron, D.; Gerold, G. ; Liesenberg, V. & Erasmi, S. ​ (2019) 
    Remote Sensing11(10) art. 1161​.​ DOI: https://doi.org/10.3390/rs11101161 
    Details  DOI 
  • 2019 Journal Article | 
    ​ ​Sensitivity of Bistatic TanDEM-X Data to Stand Structural Parameters in Temperate Forests​
    Erasmi, S. ; Semmler, M. ; Schall, P.   & Schlund, M. ​ (2019) 
    Remote Sensing11(24) art. 2966​.​ DOI: https://doi.org/10.3390/rs11242966 
    Details  DOI 
  • 2019 Journal Article | 
    ​ ​In-Field Detection of Yellow Rust in Wheat on the Ground Canopy and UAV Scale​
    Bohnenkamp, D.; Behmann, J. & Mahlein, A.-K. ​ (2019) 
    Remote Sensing11(21) art. 2495​.​ DOI: https://doi.org/10.3390/rs11212495 
    Details  DOI 
  • 2019 Journal Article | 
    ​ ​Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range​
    Brugger, A.; Behmann, J.; Paulus, S.; Luigs, H.-G.; Kuska, M. T.; Schramowski, P. & Kersting, K. et al.​ (2019) 
    Remote Sensing11(12) art. 1401​.​ DOI: https://doi.org/10.3390/rs11121401 
    Details  DOI 
  • 2018 Journal Article | 
    ​ ​Estimation of Above Ground Biomass in a Tropical Mountain Forest in Southern Ecuador Using Airborne LiDAR Data​
    González-Jaramillo, V.; Fries, A.; Zeilinger, J.; Homeier, J. ; Paladines-Benitez, J. & Bendix, J.​ (2018) 
    Remote Sensing10(5) pp. 660​.​ DOI: https://doi.org/10.3390/rs10050660 
    Details  DOI 
  • 2018 Journal Article | 
    ​ ​Patterns and Determinants of Post-Soviet Cropland Abandonment in the Western Siberian Grain Belt​
    Nguyen, H.; Hölzel, N.; Völker, A. & Kamp, J. ​ (2018) 
    Remote Sensing10(12) art. 1973​.​ DOI: https://doi.org/10.3390/rs10121973 
    Details  DOI 
  • 2018 Journal Article | 
    ​ ​Evaluating the Potential of ALS Data to Increase the Efficiency of Aboveground Biomass Estimates in Tropical Peat–Swamp Forests​
    Magdon, P. ; González-Ferreiro, E.; Pérez-Cruzado, C. ; Sarodja, D.; Kleinn, C.   & Purnama, E. S.​ (2018) 
    Remote Sensing10(9) pp. 1344​.​ DOI: https://doi.org/10.3390/rs10091344 
    Details  DOI 
  • 2018 Journal Article | 
    ​ ​Aboveground Forest Biomass Estimation Combining L- and P-Band SAR Acquisitions​
    Schlund, M. & Davidson, M.​ (2018) 
    Remote Sensing10(7) art. 1151​.​ DOI: https://doi.org/10.3390/rs10071151 
    Details  DOI 
  • 2018 Journal Article | 
    ​ ​Radiometric Performance of the TerraSAR-X Mission over More Than Ten Years of Operation​
    Schwerdt, M.; Schmidt, K.; Klenk, P.; Tous Ramon, N.; Rudolf, D.; Raab, S. & Weidenhaupt, K. et al.​ (2018) 
    Remote Sensing10(5) pp. 754​.​ DOI: https://doi.org/10.3390/rs10050754 
    Details  DOI 
  • 2017 Journal Article | 
    ​ ​Comparison of Multiple Linear Regression, Cubist Regression, and Random Forest Algorithms to Estimate Daily Air Surface Temperature from Dynamic Combinations of MODIS LST Data​
    Phan, T. N.; Degener, J. F.   & Kappas, M. ​ (2017) 
    Remote Sensing9(5) art. 398​.​ DOI: https://doi.org/10.3390/rs9050398 
    Details  DOI  WoS 
  • 2017 Journal Article | 
    ​ ​Understanding Forest Health with Remote Sensing-Part II-A Review of Approaches and Data Models​
    Lausch, A.; Erasmi, S. ; King, D. J.; Magdon, P.   & Heurich, M.​ (2017) 
    Remote Sensing9(2) art. 129​.​ DOI: https://doi.org/10.3390/rs9020129 
    Details  DOI  WoS 
  • 2016 Journal Article | 
    ​ ​Understanding forest health with remote sensing-Part I-A review of spectral traits, processes and remote-sensing characteristics​
    Lausch, A.; Erasmi, S. ; King, D. J.; Magdon, P.   & Heurich, M.​ (2016) 
    Remote Sensing8(12) art. 1029​.​ DOI: https://doi.org/10.3390/rs8121029 
    Details  DOI  WoS 
  • 2016 Journal Article | 
    ​ ​Estimating Daily Maximum and Minimum Land Air Surface Temperature Using MODIS Land Surface Temperature Data and Ground Truth Data in Northern Vietnam​
    Noi, P. T.; Kappas, M. W.   & Degener, J. ​ (2016) 
    Remote Sensing8(12) art. 1002​.​ DOI: https://doi.org/10.3390/rs8121002 
    Details  DOI  WoS 
  • 2015 Journal Article | 
    ​ ​Inter-Comparison and Evaluation of the Global LAI Product (LAI3g) and the Regional LAI Product (GGRS-LAI) over the Area of Kazakhstan​
    Kappas, M. W. ; Propastin, P. A. ; Degener, J. F.   & Renchin, T.​ (2015) 
    Remote Sensing7(4) pp. 3760​-3782​.​ DOI: https://doi.org/10.3390/rs70403760 
    Details  DOI  WoS 
  • 2014 Journal Article | 
    ​ ​Vegetation Greenness in Northeastern Brazil and Its Relation to ENSO Warm Events​
    Erasmi, S. ; Schucknecht, A.; Barbosa, M. P. & Matschullat, J.​ (2014) 
    Remote Sensing6(4) pp. 3041​-3058​.​ DOI: https://doi.org/10.3390/rs6043041 
    Details  DOI  WoS 
  • 2014 Journal Article | 
    ​ ​Evaluating the Quality and Accuracy of TanDEM-X Digital Elevation Models at Archaeological Sites in the Cilician Plain, Turkey​
    Erasmi, S. ; Rosenbauer, R.; Buchbach, R.; Busche, T. & Rutishauser, S.​ (2014) 
    Remote Sensing6(10) pp. 9475​-9493​.​ DOI: https://doi.org/10.3390/rs6109475 
    Details  DOI  WoS 
  • 2014 Journal Article | Research Paper | 
    ​ ​Using Unmanned Aerial Vehicles (UAV) to Quantify Spatial Gap Patterns in Forests​
    Getzin, S. ; Nuske, R. & Wiegand, K. ​ (2014) 
    Remote Sensing6(8) pp. 6988​-7004​.​ DOI: https://doi.org/10.3390/rs6086988 
    Details  DOI 
  • 2013 Journal Article | 
    ​ ​Airborne Thermal Data Identifies Groundwater Discharge at the North-Western Coast of the Dead Sea​
    Mallast, U.; Schwonke, F.; Gloaguen, R.; Geyer, S.; Sauter, M. & Siebert, C.​ (2013) 
    Remote Sensing5(12) pp. 6361​-6381​.​ DOI: https://doi.org/10.3390/rs5126361 
    Details  DOI  WoS 
  • 2013 Journal Article | 
    ​ ​Hierarchical Bayesian Data Analysis in Radiometric SAR System Calibration: A Case Study on Transponder Calibration with RADARSAT-2 Data​
    Döring, B.; Schmidt, K.; Jirousek, M.; Rudolf, D.; Reimann, J.; Raab, S. & Antony, J. et al.​ (2013) 
    Remote Sensing5(12) pp. 6667​-6690​.​ DOI: https://doi.org/10.3390/rs5126667 
    Details  DOI 
  • 2012 Journal Article | 
    ​ ​Retrieval of Coarse-Resolution Leaf Area Index over the Republic of Kazakhstan Using NOAA AVHRR Satellite Data and Ground Measurements​
    Propastin, P. A.   & Kappas, M. ​ (2012) 
    Remote Sensing4(1) pp. 220​-246​.​ DOI: https://doi.org/10.3390/rs4010220 
    Details  DOI  WoS 
  • 2010 Journal Article | Research Paper | 
    ​ ​Global Patterns of Cropland Use Intensity​
    Siebert, S. ; Portmann, F. T. & Döll, P.​ (2010) 
    Remote Sensing2(7) pp. 1625​-1643​.​ DOI: https://doi.org/10.3390/rs2071625 
    Details  DOI 
  • 2009 Journal Article | 
    ​ ​Modeling Net Ecosystem Exchange for Grassland in Central Kazakhstan by Combining Remote Sensing and Field Data​
    Propastin, P. A.   & Kappas, M. ​ (2009) 
    Remote Sensing1(3) pp. 159​-183​.​ DOI: https://doi.org/10.3390/rs1030159 
    Details  DOI  WoS 

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