Remote Sensing Time Series to Evaluate Direct Land Use Change of Recent Expanded Sugarcane Crop in Brazil

Sustainability - Switzerland
doi 10.3390/su4040574
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MDPI AG

Related search

Remote Sensing Applications: Beyond Land-Use and Land-Cover Change

Advances in Remote Sensing
2013English

Predicting Sugarcane Yields in Khuzestan Using a Large Time-Series of Remote Sensing Imagery Region

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2019English

Land Use Land Cover Change Detection Using Remote Sensing and GIS in Srinagar, India

International Journal of Computer Applications
2019English

Analysis of Land Use Spatial Pattern Change of Town Development Using Remote Sensing

International Journal of Remote Sensing and Earth Sciences (IJReSES)
2018English

Object-Oriented Classification of Sugarcane Using Time-Series Middle-Resolution Remote Sensing Data Based on AdaBoost

PLoS ONE
Multidisciplinary
2015English

Land-Use Land-Cover Change and Its Impact on Surface Runoff Using Remote Sensing and GIS

International Journal of Advanced Remote Sensing and GIS
2017English

Land and Forest Management by Land Use/ Land Cover Analysis and Change Detection Using Remote Sensing and GIS

Journal of Landscape Ecology(Czech Republic)
ManagementMonitoringNatureLandscape ConservationEcologyPolicyLaw
2016English

Time Series Land Cover Mapping and Change Detection Analysis Using Geographic Information System and Remote Sensing, North and West of Africa

Proceedings
2019English

Modeling Impact of Land Use Change Trajectories on Groundwater Quality Using Remote Sensing and Gis

Environmental Engineering and Management Journal
ManagementMonitoringPolicyLawEnvironmental EngineeringPollution
2013English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy