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Proceedings of SPIE - The International Society for Optical Engineering, ISSN 0277-786X, 2015, Volume 9643
Conference Proceeding
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, ISSN 0303-2434, 06/2019, Volume 78, pp. 189 - 201
Pasture degradation is of increasing global concern as it enforces erosion processes and impacts the carbon storage capacities of the soil. Reliable methods... 
RANDOM FORESTS | RapidEye | ATLANTIC FOREST | TIBETAN PLATEAU | Landsat 5 TM | CLASSIFICATION | VEGETATION FRACTION | REMOTE SENSING | SWIR modelling | TIME-SERIES | Pasture degradation mapping | Mata Atlantica | SPECTRAL MIXTURE ANALYSIS | GRASSLAND DEGRADATION | SOIL | Case studies | Soils | Earth resources technology satellites | Carbon content | Analysis | Remote sensing | Biological diversity
Journal Article
GIScience & Remote Sensing, ISSN 1548-1603, 05/2014, Volume 51, Issue 3, pp. 288 - 300
Variability in understory structure is an important problem in estimating tree canopy cover (TCC) with satellite imagery. Differences between understory... 
canopy cover | understory | RapidEye satellite | Red-Edge index | IMAGERY | LANDSAT-TM | TEXTURE MEASURES | CLOSURE | RED | FORESTS | CROWN COVER | GEOGRAPHY, PHYSICAL | REMOTE SENSING | AREA | VEGETATION INDEXES | BIOMASS
Journal Article
Remote Sensing, ISSN 2072-4292, 2013, Volume 6, Issue 1, pp. 285 - 309
This study evaluated the accuracy of boreal forest above-ground biomass (AGB) and volume estimates obtained using airborne laser scanning (ALS) and RapidEye... 
ALS | Boreal forest | Biomass | RapidEye | Remote sensing | STEM VOLUME | biomass | REMOTE-SENSING DATA | LANDSAT-TM | boreal forest | FIELD | remote sensing | ABOVEGROUND BIOMASS | LIDAR | FOREST STAND CHARACTERISTICS | PREDICTION | PINE | ALOS AVNIR-2 DATA | Inventories | Forests | Accuracy | Scanning | Stockpiling | Airborne lasers | Estimates
Journal Article
PHOTOGRAMMETRIE FERNERKUNDUNG GEOINFORMATION, ISSN 1432-8364, 2015, Issue 1, pp. 21 - 32
Accurate land use / land cover classification (LU/LC) of agricultural crops still represents a major challenge for multispectral remote sensing. In order to... 
LAND-COVER CLASSIFICATION | SUPPORT VECTOR MACHINES | RapidEye | phenology | multitemporal classification | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | LU/LC | crops | ALGORITHMS | TM IMAGERY | REMOTE SENSING | SENSED DATA | DISCRIMINATION | SEPARABILITY | TRAINING DATA | MULTISPECTRAL IMAGES | VEGETATION
Journal Article
Hydrological Processes, ISSN 0885-6087, 03/2014, Volume 28, Issue 6, pp. 3035 - 3040
Remote estimation of river discharge from river width variations is an intriguing method for gauging rivers without conventional measurements. Entirely... 
rivers | discharge | width | remote sensing | RapidEye | Landsat | Rivers | Width | Discharge | Remote sensing | ALTIMETRY | UNCERTAINTY | WATER RESOURCES
Journal Article
Remote Sensing, ISSN 2072-4292, 05/2013, Volume 5, Issue 5, pp. 2411 - 2435
The objective of this study was to analyze land use/land cover (LULC) changes in the landscape of Munessa-Shashemene area of the Ethiopian highlands over a... 
GIS | Landsat | Rapideye | Accuracy assessment | Image | Ethiopia | Remote sensing | SYSTEM | image | DEFORESTATION | SITE | MANAGEMENT | RapidEye | remote sensing | NILE BASIN | VARIABILITY | FORESTS | MAGNITUDE | PATTERN | accuracy assessment | DYNAMICS
Journal Article
Remote Sensing, ISSN 2072-4292, 2014, Volume 6, Issue 3, pp. 2572 - 2600
Reliable multi-temporal landslide detection over longer periods of time requires multi-sensor time series data characterized by high internal geometric... 
Accuracy | RapidEye | SPOT | ASTER | Landsat | Co-registration | Landslide | Multi-temporal | Optical satellite data | Kyrgyzstan | optical satellite data | SUSCEPTIBILITY | accuracy | co-registration | landslide | HAZARD ASSESSMENT | ORTHORECTIFICATION | FEATURES | multi-temporal | EXTRACTION | IMPACT | REMOTE SENSING | Landslides | Automation | Alignment | Databases | Time series | Assessments | Remote sensing | Image detection
Journal Article
Remote Sensing, ISSN 2072-4292, 06/2018, Volume 10, Issue 6, p. 942
The applicability of optical and synthetic aperture radar (SAR) data for land cover classification to support REDD+ (Reducing Emissions from Deforestation and... 
Envisat ASAR | Land cover classification | ALOS PALSAR | RapidEye | REDD | Landsat | land cover classification
Journal Article
REMOTE SENSING, ISSN 2072-4292, 06/2018, Volume 10, Issue 6
The applicability of optical and synthetic aperture radar (SAR) data for land cover classification to support REDD+ (Reducing Emissions from Deforestation and... 
DEFORESTATION | IMAGERY | RapidEye | ACCURACY ASSESSMENT | MISSION | Landsat | land cover classification | REGION | Envisat ASAR | REMOTE SENSING | AREA | MAPS | REDD | ALOS PALSAR | SCALE | L-BAND
Journal Article
2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp), 07/2015, pp. 1 - 4
Data fusion is currently one of the most frequently implemented approaches for dealing with inconsistent timesseries. However, approaches to fuse... 
data fusion | high spatial resolution | time-series | RapidEye | Landsat 5 | NDVI | Remote sensing | MODIS | grassland | Earth | Reflectivity | ESTARFM | Satellites | Prediction algorithms | Spatial resolution | RapidEye; time-series | Satellite imagery | Grasslands | Fuses | Algorithms | Dealing | Temporal logic
Conference Proceeding
2014
Reliable multi-temporal landslide detection over longer periods of time requires multi-sensor time series data characterized by high internal geometric... 
multi-temporal | RapidEye | SPOT | ASTER | optical satellite data | Landsat | accuracy | co-registration | landslide | Kyrgyzstan
Data Set
Remote Sensing, ISSN 2072-4292, 08/2018, Volume 10, Issue 8, p. 1257
Very high-resolution satellite imagery (5 m resolution) has become available on a spatial and temporal scale appropriate for dynamic wetland management and... 
NERR | Change detection | LiDAR | Unoccupied aircraft systems | Habitat mapping | RapidEye;WorldView-3 | Wetland | Drones | Estuarine | FERAL HORSES | drones | RapidEye | wetland | URBAN | CLASSIFICATION | WORLDVIEW-2 | WorldView-3 | estuarine | habitat mapping | ACCURACY | FEATURES | REMOTE SENSING | ESTIMATING AREA | unoccupied aircraft systems | change detection | SCALE | ECOSYSTEMS | MARINE
Journal Article
Sensors, ISSN 1424-8220, 2018, Volume 18, Issue 2
Oil spills from offshore drilling and coastal refineries often cause significant degradation of coastal environments. Early oil detection may prevent losses... 
AVIRIS | LANDSCAT | RapidEye | Vegetation indices | Worldview-2
Journal Article
Remote Sensing, ISSN 2072-4292, 2014, Volume 6, Issue 7, pp. 6472 - 6499
Crop mapping in West Africa is challenging, due to the unavailability of adequate satellite images (as a result of excessive cloud cover), small agricultural... 
Agriculture | Random forest | RapidEye | TerraSAR-X | West Africa | Crop mapping | SENSITIVITY | random forest | IDENTIFICATION | ERS-1 SAR | agriculture | REMOTE SENSING | DISCRIMINATION | TEMPORAL WINDOWS | TIME-SERIES | PER-FIELD CLASSIFICATION | crop mapping | EFFICIENCY | LAND-COVER CHANGE | Satellite imagery | Benin | Polarization | Northwest | Crops | Classification | Mapping | Synthetic aperture radar
Journal Article
Frontiers in plant science, ISSN 1664-462X, 2018, Volume 9, p. 96
Recent research studies have highlighted the decrease in the coverage of Mediterranean seagrasses due to mainly anthropogenic activities. The lack of data on... 
Journal Article
International Journal of Environmental Research and Public Health, ISSN 1661-7827, 09/2015, Volume 12, Issue 9, pp. 11560 - 11578
Journal Article
20.