Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Josh M. Gray"'
Autor:
Weiye Mei, Haoyu Wang, David Fouhey, Weiqi Zhou, Isabella Hinks, Josh M. Gray, Derek Van Berkel, Meha Jain
Publikováno v:
Remote Sensing, Vol 14, Iss 13, p 3046 (2022)
The mapping of field boundaries can provide important information for increasing food production and security in agricultural systems across the globe. Remote sensing can provide a viable way to map field boundaries across large geographic extents, y
Externí odkaz:
https://doaj.org/article/0176950035a9458891d0558bf876845f
Publikováno v:
Remote Sensing, Vol 12, Iss 9, p 1406 (2020)
Leaf area index (LAI) is an important biophysical indicator of forest health that is linearly related to productivity, serving as a key criterion for potential nutrient management. A single equation was produced to model surface reflectance values ca
Externí odkaz:
https://doaj.org/article/a63785f62631476aaa3e46d700075a83
Autor:
Radost Stanimirova, Zhanzhang Cai, Eli K. Melaas, Josh M. Gray, Lars Eklundh, Per Jönsson, Mark A. Friedl
Publikováno v:
Remote Sensing, Vol 11, Iss 19, p 2201 (2019)
Observations of vegetation phenology at regional-to-global scales provide important information regarding seasonal variation in the fluxes of energy, carbon, and water between the biosphere and the atmosphere. Numerous algorithms have been developed
Externí odkaz:
https://doaj.org/article/1abaa8e619e344b0a6bfbd482adb1502
Multiresolution Broad Area Search: Monitoring Spatial Characteristics of Gapless Remote Sensing Data
Publikováno v:
Journal of Data Science. :545-565
Global earth monitoring aims to identify and characterize land cover change like construction as it occurs. Remote sensing makes it possible to collect large amounts of data in near real-time over vast geographic areas and is becoming available in in
Publikováno v:
Global Biogeochemical Cycles. 37
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics. 70:793-812
High spatiotemporal resolution maps of surface vegetation from remote sensing data are desirable for vegetation and disturbance monitoring. However, due to the current limitations of imaging spectrometers, remote sensing datasets of vegetation with h
Autor:
Josh M. Gray, Kunwar K. Singh
Publikováno v:
Photogrammetric Engineering & Remote Sensing. 86:509-518
Successful eradication and management of invasive plants require frequent and accurate maps. Detection of invasive plants is difficult at moderate resolution because target species are often located in the forest understory among other vegetation typ
Autor:
Josh M. Gray, Minkyu Moon, Eli K. Melaas, Lingling Liu, Mark A. Friedl, Xiaoyang Zhang, Geoffrey M. Henebry
Publikováno v:
Remote Sensing of Environment. 226:74-92
Vegetation phenology contributes to, and is diagnostic of, seasonal variation in ecosystem processes and exerts important controls on land-atmosphere exchanges of carbon, water, and energy. Satellite remote sensing provides a valuable source of data
Publikováno v:
Remote Sensing of Environment. 222:183-194
Land cover and land use maps provide an important basis for characterizing the ecological state and biophysical properties of Earth's land areas. The Collection 5 MODIS Global Land Cover Type product, initially released in 2010, was produced at annua
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 142:151-161
Accurate and repeatable mapping of biological plant invasions is essential to develop successful management strategies for conserving native biodiversity. While overstory invasive plants have been successfully detected and mapped using multiple metho