Results 1 to 10 of about 4,811,303 (245)

Crop Classification Based on Red Edge Features Analysis of GF-6 WFV Data [PDF]

Sensors, 2021
A red edge band is a sensitive spectral band of crops, which helps to improve the accuracy of crop classification. In view of the characteristics of GF-6 WFV data with multiple red edge bands, this paper took Hengshui City, Hebei Province, China, as the ...
Yupeng Kang, Qingyan Meng, Miao Liu, Youfeng Zou, Xuemiao Wang   +4 more
doaj   +4 more sources

The Impact of NPV on the Spectral Parameters in the Yellow-Edge, Red-Edge and NIR Shoulder Wavelength Regions in Grasslands

Remote Sensing, 2022
Even though research has shown that the spectral parameters of yellow-edge, red-edge and NIR (near-infrared) shoulder wavelength regions are able to estimate green cover and leaf area index (LAI), a large amount of dead materials in grasslands challenges
Dandan Xu, Yanqing Liu, Weixin Xu, Xulin Guo   +3 more
doaj   +3 more sources

A Practical Method for Red-Edge Band Reconstruction for Landsat Image by Synergizing Sentinel-2 Data with Machine Learning Regression Algorithms [PDF]

Sensors
Red-edge bands are the most essential spectral data for multispectral remote sensing images, with them playing a critical role in monitoring vegetation growth status at regional and global scales.
Yuan Zhang, Zhekui Fan, Wenjia Yan, Chentian Ge, Huasheng Sun   +4 more
doaj   +2 more sources

Analysis of the Effectiveness of the Red-Edge Bands of GF-6 Imagery in Forest Health Discrimination

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The red-edge band is closely related to biochemical parameters that characterize the growth condition of green plants and is an important factor in monitoring vegetation health.
Jiahui Chen, Hanqiu Xu
doaj   +3 more sources

Rice Mapping and Growth Monitoring Based on Time Series GF-6 Images and Red-Edge Bands

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 ...
Xueqin Jiang, Shenghui Fang, Xia Huang, Yanghua Liu, Linlin Guo   +4 more
doaj   +3 more sources

Evaluating the Effectiveness of Using Vegetation Indices Based on Red-Edge Reflectance from Sentinel-2 to Estimate Gross Primary Productivity

Remote Sensing, 2019
Gross primary productivity (GPP) is the most important component of terrestrial carbon flux. Red-edge (680−780 nm) reflectance is sensitive to leaf chlorophyll content, which is directly correlated with photosynthesis as the pigment pool, and it ...
Shangrong Lin, Jing Li, Qinhuo Liu, Longhui Li, Jing Zhao, Wentao Yu   +5 more
doaj   +3 more sources

Adjustment of Sentinel-2 Multi-Spectral Instrument (MSI) Red-Edge Band Reflectance to Nadir BRDF Adjusted Reflectance (NBAR) and Quantification of Red-Edge Band BRDF Effects

Remote Sensing, 2017
Optical wavelength satellite data have directional reflectance effects over non-Lambertian surfaces, described by the bidirectional reflectance distribution function (BRDF).
David P. Roy, Zhongbin Li, Hankui K. Zhang   +2 more
doaj   +3 more sources

Alpha and beta phylogenetic diversities jointly reveal ant community assembly mechanisms along a tropical elevational gradient

Scientific Reports, 2022
Despite the long-standing interest in the organization of ant communities across elevational gradients, few studies have incorporated the evolutionary information to understand the historical processes that underlay such patterns.
Gibran Renoy Pérez-Toledo, Fabricio Villalobos, Rogerio R. Silva, Claudia E. Moreno, Marcio R. Pie, Jorge E. Valenzuela-González   +5 more
doaj   +1 more source

Ground Hyper-Spectral Remote-Sensing Monitoring of Wheat Water Stress during Different Growing Stages

Agronomy, 2022
Monitoring agricultural drought via ground hyper-spectral remote sensing has always been a hot topic in the fields of agriculture and meteorology.
Qiang Li, Maofang Gao, Zhao-Liang Li
doaj   +1 more source

Mapping Seasonal Leaf Nutrients of Mangrove with Sentinel-2 Images and XGBoost Method

Remote Sensing, 2022
Monitoring the seasonal leaf nutrients of mangrove forests helps one to understand the dynamics of carbon (C) sequestration and to diagnose the availability and limitation of nitrogen (N) and phosphorus (P).
Jing Miao, Jianing Zhen, Junjie Wang, Demei Zhao, Xiapeng Jiang, Zhen Shen, Changjun Gao, Guofeng Wu   +7 more
doaj   +1 more source