Grassland Height Assessment by Satellite Images

Home > Journals > Computer Science & Communications >ARS

ISSN Print: 2169-267X
ISSN Online: 2169-2688

Website: https://www.scirp.org/journal/ars
E-mail: ars@scirp.org

Citations h5-index & Ranking*

Submission

"Grassland Height Assessment by Satellite Images"
written by Alessandro Cimbelli, Valerio Vitale,
published by Advances in Remote Sensing, Vol.6 No.1, 2017

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Mapping Kenyan Grassland Heights Across Large Spatial Scales with Combined Optical and Radar Satellite Imagery
	2020

[2]	Photogrammetry for assessment of pasture biomass
	2019

[3]	Can we Monitor Height of Native Grasslands in Uruguay with Earth Observation?
	2019

[4]	Estimation of Grassland Height Based on the Random Forest Algorithm and Remote Sensing in the Tibetan Plateau
	2019

[1]	Estimation of Grassland Height Based on the Random Forest Algorithm and Remote Sensing in the Tibetan Plateau IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 DOI:10.1109/JSTARS.2019.2954696

[2]	Mapping Kenyan Grassland Heights Across Large Spatial Scales with Combined Optical and Radar Satellite Imagery Remote Sensing, 2020 DOI:10.3390/rs12071086

[3]	Can we Monitor Height of Native Grasslands in Uruguay with Earth Observation? Remote Sensing, 2019 DOI:10.3390/rs11151801

[4]	Photogrammetry for assessment of pasture biomass Journal of New Zealand Grasslands, 2019 DOI:10.33584/jnzg.2019.81.394