Exploring the impact of various spectral indices on land cover change detection using change vector analysis: A case study of Crete Island, Greece

C Polykretis, MG Grillakis, DD Alexakis - Remote Sensing, 2020 - mdpi.com
The main objective of this study was to explore the impact of various spectral indices on the
performance of change vector analysis (CVA) for detecting the land cover changes on the …

[PDF][PDF] Estimating the change in forest cover density and predicting NDVI for west Singhbhum using linear regression

A Anand, SK Singh, S Kanga - Int. J. Environ. Rehabil. Conserv, 2018 - researchgate.net
ABSTRACT Forest Canopy Density (FCD) is defined as one of the key parameters to assess
the ecological condition of a forest. The Present study deals with estimating the change in …

A change vector analysis technique for monitoring land cover changes in Copsa Mica, Romania, in the period 1985–2011

I Vorovencii - Environmental monitoring and assessment, 2014 - Springer
During the communist regime, Romania's planned economy focused exclusively on
production neglecting the environment protection. The lack of less polluting production …

NDVI short-term forecasting using recurrent neural networks

A Stepchenko, J Chizhov - … of the International Scientific and Practical …, 2015 - journals.ru.lv
In this paper predictions of the Normalized Difference Vegetation Index (NDVI) data
recorded by satellites over Ventspils Municipality in Courland, Latvia are discussed. NDVI is …

Analysis of various change detection techniques using satellite images

SR Kotkar, BD Jadhav - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
Change detection implies quantifying temporal effects using multi temporal dataset. The
Remote sensing data has become a heart of change detection technique because of its high …

[PDF][PDF] NDVI index forecasting using a layer recurrent neural network coupled with stepwise regression and the PCA

A Stepchenko - The 5th International Virtual Scientific Conference …, 2016 - researchgate.net
In this paper predictions of the normalized difference vegetation index (NDVI) are discussed.
Time series of Earth observation based estimates of vegetation inform about changes in …

Applying markov chains for NDVI time series forecasting of Latvian regions

A Stepchenko, J Chizhov - Information Technology and …, 2015 - itms-journals.rtu.lv
Time series of earth observation based estimates of vegetation inform about variations in
vegetation at the scale of Latvia. A vegetation index is an indicator that describes the amount …

Change vector analysis using integrated vegetation indices for land cover change detection

S Sangpradid - International Journal of Geoinformatics, 2018 - journals.sfu.ca
The change detection is the process to identify the difference of area between two dates in
the same location. The objective of this research is to study the land cover change from …

[PDF][PDF] Normalized difference vegetation index forecasting using a regularized layer recurrent neural network

A Stepchenko - Proc. of the 3rd Virtual Multidisciplinary Conf …, 2015 - researchgate.net
In this paper predictions of the normalized difference vegetation index (NDVI) are discussed.
Time series of Earth observation based estimates of vegetation inform about changes in …

[PDF][PDF] Remote sensing of watershed: spectral ratioing study for watershed management

DD Naik, VV Somni - International Journal, 2019 - researchgate.net
River catchments are basic hydrologic units and are important from the point of view of water
budget management. There are longitudinal and seasonal variations in the catchment due …