Results 51 to 60 of about 23,541,003 (316)
Proceedings of the Mongolian Academy of Sciences, 2020 This research aims to examine forest type distribution, based on slope and aspect maps, generated from synthetic aperture radar (SAR) data. The study is conducted over an area about 1564.9 km2 located in Khutag-Undur soum of Bulgan aimag (province ...
Nyamjargal Erdenebaatar +1 more
doaj +1 more source
Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data
GIScience & Remote Sensing, 2021 Wetlands are among the most important, yet in danger ecosystems and play a vital role for the well-being of humans as well as flora and fauna. Over the past few years, state-of-the-art deep learning (DL) tools have gained attention for wetland ...
Ali Jamali +5 more
doaj +1 more source
Remote Sensing, 2020 Mapping flood-prone areas is a key activity in flood disaster management. In this paper, we propose a new flood susceptibility mapping technique. We employ new ensemble models based on bagging as a meta-classifier and K-Nearest Neighbor (KNN) coarse ...
H. Shahabi +16 more
semanticscholar +1 more source
Lithology classification of igneous rocks using C-band and L-band dual-polarization SAR data
Open Geosciences, 2023 Distinguishing different kinds of igneous rocks is difficult because of their subtle differences. Synthetic aperture radar (SAR) is sensitive to rock surface morphology, which can help a lot in classification. Dual-pol SAR data have the advantages of low
Guo Senmiao +4 more
doaj +1 more source
Rapid Mapping of Landslides on SAR Data by Attention U-Net
Remote Sensing, 2022 Multiple landslide events are common around the globe. They can cause severe damage to both human lives and infrastructures. Although a huge quantity of research has been shaped to address rapid mapping of landslides by optical Earth Observation (EO ...
Lorenzo Nava +4 more
doaj +1 more source
Forest disturbance alerts for the Congo Basin using Sentinel-1
, 2021 A humid tropical forest disturbance alert using Sentinel-1 radar data is presented for the Congo Basin. Radar satellite signals can penetrate through clouds, allowing Sentinel-1 to provide gap-free observations for the tropics consistently every 6–12 ...
J. Reiche +13 more
semanticscholar +1 more source
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
European Journal of Remote Sensing, 2020 Grasslands are a major component of the natural vegetation in South Africa, it covers almost one-third of the country’s land surface. The current study focuses on assessing the impact of drought stress on communal and commercial grasslands in Eastern ...
Ayman Abdel-Hamid +3 more
doaj +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
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