Automated Prediction System for Vegetation Cover Based on Modis-Ndvi Satellite Data and Neural Networks

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
doi 10.5194/isprs-archives-xlii-4-w19-9-2019
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Copernicus GmbH

Related search

Land Cover Classification Based on Modis Imagery Data Using Artificial Neural Networks

Vide. Tehnologija. Resursi - Environment, Technology, Resources
Environmental Science
2017English

About the Influence of Weeds on Spring Barley NDVI Determined From MODIS Satellite Data

Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa
Computer NetworksComputer Science ApplicationsComputers in Earth SciencesCommunications
2017English

Prediction of Monthly Arctic Sea Ice Concentration Using Satellite and Reanalysis Data Based on Convolutional Neural Networks

2019English

Modis Derived Ndvi Based Time Series Analysis of Vegetation in the Jodhpur Area

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

A Survey on NDVI Estimation Techniques Using MODIS Data

International Journal for Research in Applied Science and Engineering Technology
2019English

Object-Oriented Forest Classification Based on Combination of HJ-1 CCD and MODIS-NDVI Data

Acta Ecologica Sinica
EvolutionEcologySystematicsBehavior
2014English

Assessment of Agricultural Drought Using MODIS NDVI Based Vegetation Status for Different Agro Climatic Zones of Tamil Nadu

International Journal of Current Microbiology and Applied Sciences
2019English

Automated Oracle Based on Multi-Weighted Neural Networks for GUI Testing

Information Technology Journal
2007English

Data Mining on Romanian Stock Market Using Neural Networks for Price Prediction

Informatica Economica
2013English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy