In this paper, the potential of using free-of-charge Sentinel-1 Synthetic Aperture Radar (SAR) imagery for land cover mapping in urban areas is investigated. To this aim, we use dual-pol (VV+VH) Interferometric Wide swath mode (IW) data collected on September 16th 2015 along descending orb...
The Sentinel mission has both optical (i.e. Sentinel-2) and Synthetic Aperture Radar (SAR) (i.e. Sentinel-1) sensors and hence provides an opportunity for combining optical and radar data to enhance mapping capacity in cloudy days. This is particularly important for the Sahel zone in West ...
Srivastava A, Bharadwaj S, Dubey R, Sharma V and Biswas S 2022 Mapping vegetation and measuring the performance of machine learning algorithm in LULC classification in the large area using Sentinel-2 and Landsat-8 datasets of Dehradun as a test case;Int. Arch. Photogramm. Remote Sens. Spat. ...
Time-series Cross-orbit Sentinel-1 Synthetic-Aperture Radar (SAR) Data for Mapping Paddy Extent: Case Study of Magelang District, Central Java Dual-polarized (VV and VH) Sentinel-1 Synthetic-Aperture Radar (SAR) Ground Range Detected (GRD) data are available in 9-m spatial resolution and 12...
Rana VK, Suryanarayana TMV (2020) Performance evaluation of MLE, RF and SVM classification algorithms for watershed scale land use/land cover mapping using sentinel 2 bands. Remote Sens Applications: Soc Environ 19:100351 Article Google Scholar Rogan J, Yool S (2001) Mapping fire-induced veget...
Existing solutions dedicated to cropland mapping, based on high resolution remote sensing data, are mainly focused on pixel-based analysis of time series data. This paper evaluates how a time-weighted dynamic time warping (TWDTW) method that uses Sentinel-2 time series performs when applied to ...
Monitoring of land subsidence in the city of Recife/Brazil using Sentinel-1 SAR interferometry One of the main causes of land subsidence in the world is the exploitation of groundwater above the regeneration capacity of the aquifer systems. However, ... AM Ruiz-Armenteros,W Souza,J Cabral - ...
The Land Monitoring Engine is a cloud native, open platform for Big Data geoscience that can be customized and deployed in your own cloud or HPC infrastructure. We’re on a mission to advance satellite EO analytics and enable stakeholders to embrace this new era using cloud and high-performance...
Data from different satellites (Landsat, Sentinel, MODIS) are gathered in one place on the GEE platform. Moreover, the GEE platform allows researchers to use different machine learning algorithms (Random Forest, CART, Support Vector Machine, and Naive Bayes) for image classification. As machine ...
Sampling Strategies for Soil Property Mapping Using Multispectral Sentinel-2 and Hyperspectral EnMAP Satellite Data. Remote Sensing, 11, 309. Article Google Scholar Chen, J., Ban, Y., & Li, S. (2014). Open access to earth land-cover map. Nature, 514, 434. https://doi.org/10.1038/...