Results 121 to 130 of about 24,513,203 (206)

Combination of Landsat and Sentinel-2 MSI data for initial assessing of burn severity [PDF]

, 2017
5 p.Nowadays Earth observation satellites, in particular Landsat, provide a valuable help to forest managers in post-fire operations; being the base of post-fire damage maps that enable to analyze fire impacts and to develop vegetation recovery plans ...
Fernández Manso, Alfonso, Fernández-Manso, Óscar, Quintano Pastor, Carmen   +2 more
core  

Forest 2200 nm/660 nm reflectance seasonality for improved satellite-image atmospheric correction

Metsanduslikud Uurimused
A widely used algorithm, Sen2Cor, for the atmospheric correction of Sentinel-2 MSI images assumes a constant ratio of red (0.6 μm) and near-infrared (2.2 μm) spectral reflectance, taking ρ2.2/ρ0.6 = 2.
Lang Mait, Hallik Lea, Sims Allan
doaj   +1 more source

An Integrated Pixel-Level Reflectance Adjustment (IPRA) for Harmonizing GF-1/6 WFV and Sentinel-2 MSI Data. [PDF]

Sensors (Basel)
Shi J, Gu X, Liu Y, Ding Y, Zhang Q, Yang Y.   +5 more
europepmc   +1 more source

A Comparative Study Between Gaofen-1 WFV and Sentinel MSI Imagery for Fire Severity Assessment in a Karst Region, China

Wild fires frequently influence fragile karst forest ecosystems in southwestern China. We evaluated the potential of Gaofen Wide Field of View (WFV) imagery for assessing the fire severity of karst forest fires.
Huixuan Li, Yao Liao, Yun Liu, Juan Yang, Zhong Zheng, Jinlong Fan, Xue Li, Yue Shi, Feng Hu   +8 more
core   +1 more source

EO4Urban : First-year results on Sentinel-1A SAR and Sentinel-2A MSI data for global urban services

, 2016
The overall objective of this research is to evaluate multitemporal Sentinel-1A SAR and Sentinel-2A MSI data for global urban services using innovative methods and algorithms, namely KTH-Pavia Urban Extractor, a robust algorithm for urban extent ...
Ban, Yifang,, Gamba, P.
core  

Optimizing burn area mapping with Sentinel-2: A comparative evaluation of spectral indices for accurate and efficient post-fire delineation

This study evaluates Sentinel-2 imagery for wildfire detection and post-fire assessment by comparing spectral indices (NDVI, BAI, BAIS2, CSI, NBR) using the separability index and accuracy metrics validated with PlanetScope data.
Mutune, James Muinde
core  

Multi-sensor satellite data fusion and machine learning for Eucalyptus mapping in Meket district, Ethiopia. [PDF]

Sci Rep
Tefera SA, Thatiparthi VL.
europepmc   +1 more source

Rethinking lymphadenectomy in the immunotherapy era of colorectal cancer: A hypothesis-generating perspective. [PDF]

Colorectal Dis
Stratton M, Davies J, Joshi H.
europepmc   +1 more source

Evaluating Geostationary Satellite-Based Approaches for NDVI Gap Filling in Polar-Orbiting Satellite Observations. [PDF]

Sensors (Basel)
Ryu HS, Yoon SJ, Kim J, Kim TH.
europepmc   +1 more source