Results 251 to 260 of about 740,297 (285)

Red-Edge Band Vegetation Indices for Leaf Area Index Estimation From Sentinel-2/MSI Imagery

IEEE Transactions on Geoscience and Remote Sensing, 2020
The estimation of leaf area index (LAI) from optical remotely sensed data based on vegetation indices (VIs) is a quick and practical approach to acquire LAI over vast areas. Reflectance in the red-edge bands is sensitive to vegetation status, and its information is thought to be useful in agricultural applications.
Yuanheng Sun   +2 more
exaly   +2 more sources

Effects of RapidEye imagery’s red-edge band and vegetation indices on land cover classification in an arid region

Chinese Geographical Science, 2017
Land cover classification (LCC) in arid regions is of great significance to the assessment, prediction, and management of land desertification. Some studies have shown that the red-edge band of RapidEye images was effective for vegetation identification and could improve LCC accuracy.
Xianju Li, Weitao Chen, Yiwei Liao
exaly   +2 more sources

Evaluating the impact of red-edge band from Rapideye image for classifying insect defoliation levels

ISPRS Journal of Photogrammetry and Remote Sensing, 2014
The prospect of regular assessments of insect defoliation using remote sensing technologies has increased in recent years through advances in the understanding of the spectral reflectance properties of vegetation. The aim of the present study was to evaluate the ability of the red edge channel of Rapideye imagery to discriminate different levels of ...
Samuel Adelabu   +2 more
exaly   +2 more sources

Contribution of texture and red-edge band for vegetated areas detection and identification

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013
High resolution GIS data describing forests is an important knowledge, both for mapping and for environmental monitoring purposes. The extraction of such information out of imagery consists in a detection of woody areas followed by a thematic enrichment in forested areas, including a discrimination between evergreen, deciduous and mixt plantings.
Arnaud Le Bris   +2 more
openaire   +1 more source

A highly chlorophyll-sensitive and LAI-insensitive index based on the red-edge band: CSI

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
Leaf chlorophyll content (Chl leaf ) is a crucial parameter in carbon cycle modeling and agricultural monitor. Taking advantage of remotely sensed red-edge vegetation index (VI) is an easy approach to estimate Chl leaf at a large spatial scale. However, the spectral signals of Chl leaf and other canopy/foliar/background factors (e.g.
Hu Zhang 0001   +4 more
openaire   +1 more source

Geostatistical Data Fusion: Application to Red Edge Bands of Sentinel 2

2016 International Conference on Computational Science and Computational Intelligence (CSCI), 2016
The new ESA Sentinel-2 satellite delivers images of the red-edge band at a spatial resolution of 20m. These bands are particular useful for vegetation monitoring in general and present high potential of application in precision agriculture. For this, we propose a data fusion methodology for downscaling rededge bands to 10 m spatial resolution using the
Maria João Pereira   +4 more
openaire   +1 more source

Derivation of the red edge index using the MERIS standard band setting

International Journal of Remote Sensing, 2002
Within ESA's Earth Observation programme, the Medium Resolution Imaging Spectrometer (MERIS) is one of the payload components of the European polar platform ENVISAT-1. MERIS will be operated with a standard band setting of 15 bands. The objective of this paper was to study whether the vegetation red edge index can be derived from the MERIS standard ...
Clevers, J.G.P.W.   +6 more
openaire   +4 more sources

Optimal Red Edge Band Selection for Crop and Vegetation Classification using Separability and Spectral Analysis

2024 IEEE 5th India Council International Subsections Conference (INDISCON)
Triloki Pant
exaly   +2 more sources

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