Results 21 to 30 of about 740,297 (285)
Improved Mapping of Mountain Shrublands Using the Sentinel-2 Red-Edge Band [PDF]
Remote Sensing, 2019 Shrub encroachment into grassland and rocky habitats is a noticeable land cover change currently underway in temperate mountains and is a matter of concern for the sustainable management of mountain biodiversity. Current land cover products tend to underestimate the extent of mountain shrublands dominated by Ericaceae (Vaccinium spp.
Bayle, Arthur +9 more
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Rice Mapping and Growth Monitoring Based on Time Series GF-6 Images and Red-Edge Bands [PDF]
Remote Sensing, 2021 Accurate rice mapping and growth monitoring are of great significance for ensuring food security and agricultural sustainable development. Remote sensing (RS), as an efficient observation technology, is expected to be useful for rice mapping and growth monitoring. Due to the fragmented distribution of paddy fields and the undulating terrain in Southern
Xueqin Jiang 0004 +4 more
openaire +2 more sources
Extraction of fractional vegetation cover in arid desert area based on Chinese GF-6 satellite
Open Geosciences, 2021 The red edge band is considered as one of the diagnosable characteristics of green plants, but the large-scale remote sensing retrieval of fractional vegetation coverage (FVC) based on the red edge band is still rare.
Deng Zhengdong +9 more
doaj +1 more source
Spaceborne Estimation of Leaf Area Index in Cotton, Tomato, and Wheat Using Sentinel-2
Land, 2021 Satellite remote sensing is a useful tool for estimating crop variables, particularly Leaf Area Index (LAI), which plays a pivotal role in monitoring crop development. The goal of this study was to identify the optimal Sentinel-2 bands for LAI estimation
Gregoriy Kaplan, Offer Rozenstein
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Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content [PDF]
Sensors, 2011 ESA’s upcoming satellite Sentinel-2 will provide Earth images of high spatial, spectral and temporal resolution and aims to ensure continuity for Landsat and SPOT observations. In comparison to the latter sensors, Sentinel-2 incorporates three new spectral bands in the red-edge region, which are centered at 705, 740 and 783 nm. This study addresses the
Jesús Delegido +3 more
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Remote Sensing, 2022 Kelp forests are commonly classified within remote sensing imagery by contrasting the high reflectance in the near-infrared spectral region of kelp canopy floating at the surface with the low reflectance in the same spectral region of water.
Brian Timmer +4 more
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Crop distribution extraction based on Sentinel data [PDF]
E3S Web of Conferences, 2021 Remote sensing identification and classification of crops is the use of remote sensing for estimating crop planting area of timely and accurate monitoring of crop growth and plant diseases and insect pests in advance to make the product output to ...
Liu Yu, Wang Xiaoping, Qian Jiaxin
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 As an essential vegetation biophysical trait that determines the plant's structure and photosynthetic capacity, characterizing of leaf area index (LAI) is important for vegetation growth and health monitoring.
Yuanheng Sun, Binyu Wang, Zhaoxu Zhang
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Fermi-Edge Superfluorescence from a Quantum-Degenerate Electron-Hole Gas [PDF]
, 2013 We report on the observation of spontaneous bursts of coherent radiation from a quantum-degenerate gas of nonequilibrium electron-hole pairs in semiconductor quantum wells. Unlike typical spontaneous emission from semiconductors, which occurs at the band
Belyanin, A. A. +6 more
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An object-oriented approach for agrivultural land classification using rapideye imagery [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 With the improvement of remote sensing technology, the spatial, structural and texture information of land covers are present clearly in high resolution imagery, which enhances the ability of crop mapping.
H. Sang, L. Zhai, J. Zhang, F. An
doaj +1 more source