Results 11 to 20 of about 113,448,228 (255)
IDENTIFICATION OF INLAND-EXCESS WATER PATCHES BASED ON LiDAR AND SENTINEL 1 DATA [PDF]
Natural Resources and Sustainable Development, 2020 Understanding the habitat is essential for economic production. As a result of rapidly changing processes, features of habitats may be modified, it may be affected by a wide variety of factors.
Gálya Bernadett +6 more
doaj +1 more source
Remote Sensing, 2020 Seasonal changes control the development of salt crust over the Salar de Aguas Calientes Sur located in Andes Highlands, Chile. Precipitations throughout the Altiplanic winter (December to March) and austral winter (June to September) caused ponds to ...
Analia Delsouc +6 more
doaj +1 more source
Sensors, 2021 The Karapinar basin, located in the Central Anatolian part of Turkey, is subjected to land subsidence and sinkhole activity due to extensive groundwater withdrawal that began in the early 2000s.
Osman Orhan +4 more
doaj +1 more source
Jando93/Sentinel-1-unsupervised-burned-area-detection: Sentinel-1-unsupervised-burned-area-detection
, 2021 This code represents a processing workflow for the unsupervised detection and mapping of burned areas using SAR Sentinel-1 (S-1) satellite data.
Jando93
core +1 more source
Sentinel-1 FDBAQ Performance Validation Using TerraSAR-X Data [PDF]
, 2012 Two Block Adaptive Quantization (BAQ) algorithms considered for implementation on-board Sentinel-1, the Entropy Constrained BAQ (ECBAQ) and the Flexible Dynamic BAQ (FDBAQ) are investigated with real data acquired by TerraSAR-X.
Evert Attema +9 more
core +1 more source
Frontiers in Environmental Science, 2020 Wheat is cultivated on more than 2.7 million hectares in Afghanistan annually, yet the country is dependent on imports to meet domestic demand. The timely estimation of domestic wheat production is highly critical to address any potential food security ...
Varun Tiwari +7 more
doaj +1 more source
Remote Sensing, 2022 Crop phenology monitoring is a necessary action for precision agriculture. Sentinel-1 and Sentinel-2 satellites provide us with the opportunity to monitor crop phenology at a high spatial resolution with high accuracy.
Md Yeasin +4 more
doaj +1 more source
Sentinel-1 object-based image classification result (2017, 2018, 2019).
, 2022 Sentinel-1 object-based image classification result (2017, 2018, 2019).
Kumar Arun Prasad (14249885) +8 more
core +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
Remote Sensing, 2019 The Mediterranean region is frequently struck by severe rainfall events causing numerous casualties and several million euros of damages every year.
Martina Lagasio +19 more
doaj +1 more source