📁 Bangladesh Vegetation–Climate Dataset (2000–2024)

This repository contains the processed datasets used for analyzing the climatic impacts on vegetation health across the eight administrative divisions of Bangladesh. The data were collected from satellite imagery and climate reanalysis products and aggregated at the divisional level for the years 2000–2024.

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Data Description

Study Area

• Geographic region: Bangladesh
• Divisions included: Dhaka, Chittagong, Khulna, Barisal, Sylhet, Rangpur, Rajshahi, and Mymensingh
• Spatial units: 64 districts aggregated to 8 divisions

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Data Sources

1. Vegetation Index (Dependent Variable)

• MODIS MOD13Q1 (Terra)
• MODIS MYD13Q1 (Aqua)
• Collection: 6.1
• Indicator: Enhanced Vegetation Index (EVI)
• Filters applied:
  • EVI ≥ 0.2
  • Strict MODIS QA filtering
  • Whittaker smoothing for gap-filling

2. Climate Variables (Independent Variables)

Collected from ERA5 Daily Aggregates (ECMWF/C3S):

• Shortwave Radiation (W/m²)
• Temperature (°C)
• Humidity (%)
• Wind Speed (km/h)
• Precipitation (mm)

All variables were aligned with the MODIS 8-day timestamps and converted to monthly weighted averages.

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Method Overview

1. Extracted MODIS and ERA5 datasets using Google Earth Engine (GEE)
2. Applied MODIS QA/QC filtering
3. Converted raw 8-day EVI & climate data to monthly weighted averages
4. Imputed missing values using MICE (miceforest)
5. Aggregated 64 districts → 8 divisions
6. Exported final CSV files for analysis

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File Formats

All processed datasets are provided in:

• CSV format (UTF-8)
• Clean column names
• Division-level monthly resolution

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Contact

• Author: Minhaz Uddin
• Email: minhaz182219@gmail.com
• GitHub: github.com/MinhazAyon
• Whatsapp: +8801628182219

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