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Dergiler / International Journal of Engineering and Geosciences / 2026 / Volume: 11 Issue: 3

Time series analysis of rice cropping seasons and production using remote sensing images: A case study in Dong Thap province, Vietnam

Vo Quang Minh(Cantho University)0000-0001-8574-7151
Huong Huynh(Can Tho University)0009-0002-7269-258X
Nguyen Thanh Tung(Department of Agricultural and Environment of Can Tho City)0000-0003-4420-5158
Dang Pham(Can Tho University)0000-0002-4690-8810
Sayfa
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Yayın Tarihi
2026-06-28
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

These findings provide important evidence to support managers in adjusting rice land planning, allocating water resources, reviewing the dike system, and developing climate change adaptation policies for production.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Monitoring of rice crop variability in Dong Thap is limited by reliance on manual surveys, the lack of continuous data series, and difficulty distinguishing changes between farming models.
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Temel Bulgular & Veri:To address this gap, the study aims to (i) identify changes in the structure of double rice crops and triple rice crops in the period 2017–2021, and (ii) assess the impact of such changes on rice yield.
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Sonuç & Katkı:These findings provide important evidence to support managers in adjusting rice land planning, allocating water resources, reviewing the dike system, and developing climate change adaptation policies for production.
🔬Tür:Uygulamalı Anket & Alan Araştırması
📍Kapsam:2017–2021 Verileri
⚙️Değişkenler:Rice cropping calendar · Scattering index · Rice yield

Abstract

Monitoring of rice crop variability in Dong Thap is limited by reliance on manual surveys, the lack of continuous data series, and difficulty distinguishing changes between farming models. To address this gap, the study aims to (i) identify changes in the structure of double rice crops and triple rice crops in the period 2017–2021, and (ii) assess the impact of such changes on rice yield. Sentinel-1A SAR data series were processed on Google Earth Engine through the following steps: speckle noise filtering, VH reflectance extraction over time, growth curve construction, and crop clustering using the K-means algorithm. The resulting layers were integrated with GIS for overlaying, analyzing spatial-temporal fluctuations, and combining with household survey data to estimate yield. The results show that the two rice-crop areas decreased by 7,038.5 hectares, and the three rice-crop areas decreased by 4,068.88 hectares from 2017 to 2021. Despite the decrease in area, the province's rice output still increased from 2.88 to 2.95 million tons, reflecting productivity improvements and changes in production structure. These findings provide important evidence to support managers in adjusting rice land planning, allocating water resources, reviewing the dike system, and developing climate change adaptation policies for production.

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Bu Makaleye Atıf Yap

Minh, V. Q., Huynh, H., Tung, N. T., Pham, D. (2026). Time series analysis of rice cropping seasons and production using remote sensing images: A case study in Dong Thap province, Vietnam. International Journal of Engineering and Geosciences, Volume: 11 Issue: 3. https://doi.org/10.26833/ijeg.1790265

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