Evaluation of Land Use Patterns and Vegetation Recovery Status of Shifting Cultivation in Myanmar’s Mountainous Regions Using Satellite Imagery and Field Surveys

Shifting cultivation remains a primary farming system in Myanmar’s mountainous regions. However, population growth and economic pressures have disrupted its traditional balance. This study aimed to clarify historical land-use patterns and evaluate vegetation recovery in Lailenpi by integrating field surveys with multitemporal Sentinel-2 imagery from 2019 to 2025. We identified cultivation plots using NDVI differences and quantified recovery trajectories with a Bayesian hierarchical nonlinear model. Results confirmed that a systematic eight-year rotational cycle was maintained. However, the total cultivated area expanded from 0.93% to 3.13%, shifting toward steeper terrain. Bayesian modeling showed that canopy greenness recovered within 24 to 36 months. Despite this resilience, the shift to rugged terrain suggested mounting land-use pressure and soil degradation risks. These findings highlight the importance of combining field surveys with high-resolution monitoring to ensure the long-term ecological sustainability of tropical mountain regions.

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Publication Details

Journal
Remote Sensing
Published
2026-04-13
DOI
https://doi.org/10.3390/rs18081164
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluation of Land Use Patterns and Vegetation Recovery Status of Shifting Cultivation in Myanmar’s Mountainous Regions Using Satellite Imagery and Field Surveys

Kento Mio, Kyoko Shibata, Rongling Ye, Osamu Watanabe
Remote Sensing
Remote Sensing in Agriculture
article

Evaluation of Land Use Patterns and Vegetation Recovery Status of Shifting Cultivation in Myanmar’s Mountainous Regions Using Satellite Imagery and Field Surveys

Kento Mio, Kyoko Shibata, Rongling Ye, Osamu Watanabe
article en

Abstract

Shifting cultivation remains a primary farming system in Myanmar’s mountainous regions. However, population growth and economic pressures have disrupted its traditional balance. This study aimed to clarify historical land-use patterns and evaluate vegetation recovery in Lailenpi by integrating field surveys with multitemporal Sentinel-2 imagery from 2019 to 2025. We identified cultivation plots using NDVI differences and quantified recovery trajectories with a Bayesian hierarchical nonlinear model. Results confirmed that a systematic eight-year rotational cycle was maintained. However, the total cultivated area expanded from 0.93% to 3.13%, shifting toward steeper terrain. Bayesian modeling showed that canopy greenness recovered within 24 to 36 months. Despite this resilience, the shift to rugged terrain suggested mounting land-use pressure and soil degradation risks. These findings highlight the importance of combining field surveys with high-resolution monitoring to ensure the long-term ecological sustainability of tropical mountain regions.

Remote SensingVol. 18(8)
Shinshu University (JP), Terra (NL)
Ministerio de Economía y Competitividad
Life in Land
Openalex Percentile: Top 21%
Remote Sensing in Agriculture
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Evaluation of Land Use Patterns and Vegetation Recovery Status of Shifting Cultivation in Myanmar’s Mountainous Regions Using Satellite Imagery and Field Surveys — Kento Mio, Kyoko Shibata, et al. · Remote Sensing (2026) | TGRS Research Map | TGRS