Events The 1st International Electronic Conference on Forests — Forests for a Better Future: Sustainability, Innovation, Interdisciplinarity

Event submissions

Published

10.3390/IECF2020-07956

This submission belongs to the session S4. Forest Inventory, Quantitative Methods and Remote Sensing of the event The 1st International Electronic Conference on Forests — Forests for a Better Future: Sustainability, Innovation, Interdisciplinarity

Published date

12 Nov, 2020

Citation

Subhasis Ghosh, Subhajit Bandopadhyay, Dany A. Cotrina Sánchez, Long-term Sensitivity Analysis of Palmer Drought Severity Index (PDSI) Through Uncertainty and Error Estimation from Plant Productivity and Biophysical Parameters, in Proceedings of The 1st International Electronic Conference on Forests — Forests for a Better Future: Sustainability, Innovation, Interdisciplinarity, 15 November–30 November 2020, MDPI: Basel, Switzerland, doi: 10.3390/IECF2020-07956

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Long-term Sensitivity Analysis of Palmer Drought Severity Index (PDSI) Through Uncertainty and Error Estimation from Plant Productivity and Biophysical Parameters

Subhasis Ghosh ¹

Subhajit Bandopadhyay ²

Dany A. Cotrina Sánchez ³

1. Department of Geography, Visva-Bharati (A Central University); Santiniketan; India

2. Department of Ecology and Environmental Protection; Poznan University of Life Sciences; Piatkowska 94; 60-649 Poznan; Poland

3. Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES) de la Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas; Perú

Abstract

Keywords

Palmer Drought Severity Index (PDSI)

Enhanced Vegetation Index (EVI)

Forest

Tropical Ecosystem

Google Earth Engine

India

Manuscript

sciforum-035548.pdf

Oral Presentation

Ghosh_et_al_2020_Long-term_Sensitivity_Analysis_of_Palmer_Drought_Severity_Index(PDSI)_Through_Uncertainty_and_Error_Est.pptx

Poster

Ghosh_et_al_2020_Long-term_Sensitivity_Analysis_of_Palmer_Drought_Severity_Index(PDSI)_Through_Uncertainty_and_Error_Est.pdf