Remote Sensing of Grasslands: Performance Comparison of Radar and Optical Data in Machine Learning Classification [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesClassification of grasslands has an important role in environmental monitoring, and management. This study compares and evaluates the performance of various machine learning and deep learning algorithms in grassland classification using remote sensing ...
K. Christofi +7 more
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Water bodies' mapping from Sentinel-2 imagery with Modified Normalized Difference Water Index at 10-m spatial resolution produced by sharpening the swir band [PDF]
, 2016 Monitoring open water bodies accurately is an important and basic application in remote sensing. Various water body mapping approaches have been developed to extract water bodies from multispectral images.
Du, Yun +5 more
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GIScience & Remote Sensing, 2018 The availability of freely available moderate-to-high spatial resolution (10–30 m) satellite imagery received a major boost with the recent launch of the Sentinel-2 sensor by the European Space Agency.
Gerald Forkuor +3 more
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Comparison of Landsat-8 and Sentinel-2 Data for Estimation of Leaf Area Index in Temperate Forests
Remote Sensing, 2019 With the launch of the Sentinel-2 satellites, a European capacity has been created to ensure continuity of Landsat and SPOT observations. In contrast to previous sensors, Sentinel-2′s multispectral imager (MSI) incorporates three additional ...
Lorenz Hans Meyer +4 more
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Remote Sensing, 2022 The Sentinel-2 constellation has been providing high spatial, spectral and temporal resolution optical imagery of the continental surfaces since 2015.
Jordi Inglada +2 more
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Multi-level Feature Fusion-based CNN for Local Climate Zone Classification from Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42 Dataset [PDF]
, 2020 As a unique classification scheme for urban forms and functions, the local climate zone (LCZ) system provides essential general information for any studies related to urban environments, especially on a large scale.
Bechtel, Benjamin +4 more
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Remote Sensing, 2021 The high-resolution Sentinel-2 data potentially enable the estimation of gross primary productivity (GPP) at finer spatial resolution by better capturing the spatial variation in a heterogeneous landscapes.
Zhanzhang Cai +11 more
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CMOS detectors for space applications: from R&D to operational program with large volume foundry [PDF]
, 2010 Nowadays, CMOS image sensors are widely considered for space applications. The use of CIS (CMOS Image sensor) processes has significantly enhanced their performances such as dark current, quantum efficiency and conversion gain.
Breart de Boisanger, Michel +6 more
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Crop Identification Based on Multi-Temporal Active and Passive Remote Sensing Images
ISPRS International Journal of Geo-Information, 2022 Although vegetation index time series from optical images are widely used for crop mapping, it remains difficult to obtain sufficient time-series data because of satellite revisit time and weather in some areas.
Hebing Zhang +3 more
doaj +1 more source
Discrimination of tropical forest types, dominant species, and mapping of functional guilds by hyperspectral and simulated multispectral Sentinel-2 data [PDF]
, 2016 To answer new scientific and ecological questions and monitor multiple forest changes, a fine scale characterization of these ecosystems is needed, and could imply the mapping of specific species, of detailed forest types, and of functional composition ...
Chen, Qi +7 more
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