Dech, J.P.[Jeffery P.]
* 2019: Estimating Stand Age from Airborne Laser Scanning Data to Improve Models of Black Spruce Wood Density in the Boreal Forest of Ontario
Dech, S.
* 2010: Delineation of Urban Footprints From TerraSAR-X Data by Analyzing Speckle Characteristics and Intensity Information
* 2010: Per-Field Irrigated Crop Classification in Arid Central Asia Using SPOT and ASTER Data
* 2011: Characterization of Land Cover Types in TerraSAR-X Images by Combined Analysis of Speckle Statistics and Intensity Information
* 2011: impact of inter-annual variability in remote sensing time series on modeling tree species distributions, The
* 2011: Remote Sensing of Mangrove Ecosystems: A Review
* 2012: Land Cover and Land Use Classification with TWOPAC: towards Automated Processing for Pixel- and Object-Based Image Classification
* 2012: Modelling Forest alpha-Diversity and Floristic Composition: On the Added Value of LiDAR plus Hyperspectral Remote Sensing
* 2013: Flood Mapping and Flood Dynamics of the Mekong Delta: ENVISAT-ASAR-WSM Based Time Series Analyses
* 2013: Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using Support Vector Machines
* 2013: Intercomparison of Leaf Area Index Products for a Gradient of Sub-Humid to Arid Environments in West Africa
* 2013: Varying Scale and Capability of Envisat ASAR-WSM, TerraSAR-X Scansar and TerraSAR-X Stripmap Data to Assess Urban Flood Situations: A Case Study of the Mekong Delta in Can Tho Province
* 2014: Identifying Changing Snow Cover Characteristics in Central Asia between 1986 and 2014 from Remote Sensing Data
* 2014: Land Cover Characterization and Classification of Arctic Tundra Environments by Means of Polarized Synthetic Aperture X- and C-Band Radar (PolSAR) and Landsat 8 Multispectral Imagery: Richards Island, Canada
* 2015: Remote Sensing of River Delta Inundation: Exploiting the Potential of Coarse Spatial Resolution, Temporally-Dense MODIS Time Series
* 2017: Assessment of Mono- and Split-Window Approaches for Time Series Processing of LST from AVHRR: A TIMELINE Round Robin
* 2017: Automated Improvement of Geolocation Accuracy in AVHRR Data Using a Two-Step Chip Matching Approach: A Part of the TIMELINE Preprocessor
* 2017: Breaking new ground in mapping human settlements from space: The Global Urban Footprint
* 2017: Detection of Water Bodies from AVHRR Data: A TIMELINE Thematic Processor
* 2017: Integration of remote sensing based surface information into a three-dimensional microclimate model
* 2017: Potential of Earth Observation for the Analysis of Cold Region Land Surface Dynamics in Europe: A Review, The
* 2017: Regions Set in Stone: Delimiting and Categorizing Regions in Europe by Settlement Patterns Derived from EO-Data
* 2018: Are the Poor Digitally Left Behind? Indications of Urban Divides Based on Remote Sensing and Twitter Data
* 2018: Remote Sensing of Antarctic Glacier and Ice-Shelf Front Dynamics: A Review
* 2018: Ten Years of Experience with Scientific TerraSAR-X Data Utilization
* 2018: Where We Live: A Summary of the Achievements and Planned Evolution of the Global Urban Footprint
* 2019: Effect of Droughts on Vegetation Condition in Germany: An Analysis Based on Two Decades of Satellite Earth Observation Time Series and Crop Yield Statistics, The
* 2019: Remote Sensing for the Quantification of Land Surface Dynamics in Large River Delta Regions: A Review
* 2019: Remote Sensing in Environmental Justice Research: A Review
* 2020: Towards a Large-Scale 3D Modeling of the Built Environment: Joint Analysis of TanDEM-X, Sentinel-2 and Open Street Map Data
* 2021: High-Resolution Gridded Population Datasets: Exploring the Capabilities of the World Settlement Footprint 2019 Imperviousness Layer for the African Continent
* 2021: Potential and Challenges of Harmonizing 40 Years of AVHRR Data: The TIMELINE Experience
* 2022: Towards an Improved Large-Scale Gridded Population Dataset: A Pan-European Study on the Integration of 3D Settlement Data into Population Modelling
* 2023: Scientific Evidence from Space: A Review of Spaceborne Remote Sensing Applications at the Science-Policy Interface
Includes: Dech, S. Dech, S.[Stefan]
33 for Dech, S.
Dech, S.W.
* 1999: Computer Animation of Remote Sensing-Based Time Series Data Sets
Dechambre, M.
* 2010: Numerical Backscattering Analysis for Rough Surfaces Including a Cloddy Structure
DeChant, C.[Chad]
* 2019: Quantitative Phenotyping of Northern Leaf Blight in UAV Images Using Deep Learning
DeChant, C.M.
* 2015: Improving Soil Moisture Profile Prediction With the Particle Filter-Markov Chain Monte Carlo Method
Dechasa, N.C.[Nemera Chala]
* 2023: Dependence-Aware Edge Intelligent Function Offloading for 6G-Based IoV
Decherchi, S.[Sergio]
* 2011: Efficient approximate Regularized Least Squares by Toeplitz matrix
Dechesne, C.[Clement]
* 2016: Forest Stand Segmentation Using Airborne Lidar Data And Very High Resolution Multispectral Imagery
* 2017: Semantic segmentation of forest stands of pure species combining airborne lidar data and very high resolution multispectral imagery
* 2019: Ship Identification and Characterization in Sentinel-1 SAR Images with Multi-Task Deep Learning
* 2021: Bayesian U-Net: Estimating Uncertainty in Semantic Segmentation of Earth Observation Images
Includes: Dechesne, C.[Clement] Dechesne, C.[Clément]
Dechev, N.[Nikolai]
* 2011: Machine Vision Framework for Automated Localization of Microinjection Sites on Low-Contrast Single Adherent Cells, A
Dechoz, C.
* 2012: Attitude Assessment Using Pleiades-HR Capabilities
* 2012: Pleiades HR in Flight Geometrical Calibration: Location and Mapping of The Focal Plane
* 2012: Pleiades-HR Image Quality Commissioning
* 2012: Pleiades-HR Innovative Techniques For Geometric Image Quality Commissioning
* 2012: Sentinel-2 Level 1 Products and Image Processing Performances
* 2012: Star-based Methods For Pleiades HR Commissioning
* 2015: SPOT-4 (Take 5): Simulation of Sentinel-2 Time Series on 45 Large Sites
Includes: Dechoz, C. Déchoz, C. Dechoz, C.[Cécile]
7 for Dechoz, C.
Dechter, R.[Rina]
* 2007: AND/OR search spaces for graphical models