Results 71 to 80 of about 23,698,312 (402)
Smallholder Crop Type Mapping and Rotation Monitoring in Mountainous Areas with Sentinel-1/2 Imagery
Remote Sensing, 2022 Accurate and timely crop type mapping and rotation monitoring play a critical role in crop yield estimation, soil management, and food supplies. To date, to our knowledge, accurate mapping of crop types remains challenging due to the intra-class ...
Tingting Ren +4 more
semanticscholar +1 more source
Remote Sensing, 2020 This study investigates the spatial signatures of seasonal snow in Synthetic Aperture Radar (SAR) observations at different spatial scales and for different physiographic regions. Sentinel-1 C-band (SAR) backscattering coefficients (BSC) were analyzed in
Surendar Manickam, Ana Barros
doaj +1 more source
Examining the Integration of Landsat Operational Land Imager with Sentinel-1 and Vegetation Indices in Mapping Southern Yellow Pines (Loblolly, Shortleaf, and Virginia Pines) [PDF]
, 2022 The mapping of southern yellow pines (loblolly, shortleaf, and Virginia pines) is important to supporting forest inventory and the management of forest resources.
Akumu, Clement E., Amadi, Eze O.
core +1 more source
Geo-Spatial Information Science, 2022 As a newly developed classification system, the LCZ scheme provides a research framework for Urban Heat Island (UHI) studies and standardizes the worldwide urban temperature observations.
Lin Zhou +3 more
semanticscholar +1 more source
Remote Sensing, 2018 Aquaculture makes a crucial contribution to global food security and protein intake and is a basis for many livelihoods. Every second fish consumed today is produced in aquaculture systems, mainly in land-based water ponds situated along the coastal ...
Marco Ottinger +2 more
doaj +1 more source
Remote Sensing, 2021 Mangroves are among the most productive ecosystems in existence, with many ecological benefits. Therefore, generating accurate thematic maps from mangrove ecosystems is crucial for protecting, conserving, and reforestation planning for these valuable ...
A. Ghorbanian +5 more
semanticscholar +1 more source
Detection of Macroalgal Bloom from Sentinel−1 Imagery
Remote Sensing, 2023 The macroalgal bloom (MAB) is caused by brown algae forming a floating mat. Most of its parts stay below the water surface, unlike green algae; thus, its backscatter value becomes weaker in the synthetic aperture radar (SAR) images, such as Sentinel−1 ...
Sree Juwel Kumar Chowdhury +3 more
doaj +1 more source
High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach [PDF]
, 2022 In intensively managed forests in Europe, where forests are divided into stands of small size and may show heterogeneity within stands, a high spatial resolution (10 - 20 meters) is arguably needed to capture the differences in canopy height. In this work, we developed a deep learning model based on multi-stream remote sensing measurements to create a ...
arxiv +1 more source
Deformation Monitoring Using Sentinel-1 SAR Data [PDF]
The 2nd International Electronic Conference on Remote Sensing, 2018 This paper describes the data processing and analysis procedure implemented by the authors to analyse Sentinel-1 data. The procedure is an advanced Differential Interferometric SAR (DInSAR) technique that generates deformation maps and time series of deformation from multiple SAR images acquired over the same site.
Devanthéry, Núria +4 more
openaire +4 more sources
Water Body Mapping Using Long Time Series Sentinel-1 SAR Data in Poyang Lake
Water, 2022 Mapping water bodies with a high accuracy is necessary for water resource assessment, and mapping them rapidly is necessary for flood monitoring. Poyang Lake is the largest freshwater lake in China, and its wetland is one of the most important in the ...
G. Shen +3 more
semanticscholar +1 more source