A5008827676- Conservation, Biodiversity, and Resource Management
- Forest Management and Policy
- Remote Sensing in Agriculture
- Hydrology and Drought Analysis
- Land Use and Ecosystem Services
- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Forest ecology and management
- Climate change impacts on agriculture
- Oil Palm Production and Sustainability
- Species Distribution and Climate Change
- Rice Cultivation and Yield Improvement
- Coastal wetland ecosystem dynamics
- Sustainability and Climate Change Governance
- Remote Sensing and LiDAR Applications
- Sustainable Development and Environmental Policy
- Environmental Conservation and Management
- African Botany and Ecology Studies
- Energy and Environment Impacts
Asian Institute of Technology
2015-2024
Chulalongkorn University
2020
The Lower Mekong Region (LMR) faces significant loss of mangrove forests, yet limited studies have explored this decline in the region. Here, we employ Google Earth Engine and Landsat satellite imagery to assess changes forest cover across Myanmar, Thailand, Vietnam, Cambodia between 1989 2020, with a five-year interval. Accordingly, estimated carbon stock due cover. Our analysis yielded an overall average accuracy 92.10% kappa coefficient 0.89 four countries. findings reveal 0.9% increase...
As more data and technologies become available, it is important that a simple method developed for the assessment of land use changes because global need to understand potential climate mitigation could result from reduction in deforestation forest degradation tropics. Here, we determined threshold values vegetation types classify categories Cambodia through analysis phenological behaviors development robust phenology-based classification (PBTC) mapping long-term monitoring cover changes. We...
Drawing on collective experience from ten collaborative research projects focused the Global South, we identify three major challenges that impede translation of sustainability and resilience into better-informed choices by individuals policy-makers in turn can support transformation to a sustainable future. The comprise: (i) converting knowledge produced during successful application; (ii) scaling up time when are short-term potential impacts long-term; (iii) across space, local sites...
Digital and scalable technologies are increasingly important for rapid large-scale assessment monitoring of land cover change. Until recently, little research has existed on how these can be specifically applied to the Reducing Emissions from Deforestation Forest Degradation (REDD+) activities. Using Google Earth Engine (GEE) cloud computing platform, we recently developed phenology-based threshold classification method (PBTC) detecting mapping forest carbon stock changes in Siem Reap...
Although vegetation phenology thresholds have been developed for a wide range of mapping applications, their use assessing the distribution natural bamboo and related carbon stocks is still limited, especially in Southeast Asia. Here, we used Google Earth Engine (GEE) to collect time-series Landsat 8 Operational Land Imager (OLI) Sentinel-2 images employed phenology-based threshold classification method (PBTC) map estimate Siem Reap Province, Cambodia. We processed 337 collections OLI...
Assessment of forest cover changes is required to establish the reference emission level (FREL) at any scale. Due civil conflict, such assessments have not yet been undertaken in Sri Lanka, especially conflict zone. Here, we assessed Vavuniya District, from 2001 2020, using a combination Google Earth Engine (GEE) platform and phenology-based threshold classification (PBTC) method. Landsat 5 TM data for 2001, 2006, 2010, 8 OLI 2016 2020 were used classify by categories, their related could be...
Data on droughts and floods their impacts croplands production are important for policy makers the scientific community. This dataset was developed to provide data of agriculture in Monsoon Climate Region Equatorial Southeast Asia during crop growing seasons over a 40-year period between 1980 2019. The were generated using TerraClimate global high-resolution gridded Palmer Drought Severity Index (PDSI) datasets Google Earth Engine along with set algorithms. Datasets available 47,192 grid...
Amid urgent global climate and biodiversity crises, the strategic restoration of degraded forests stands as a vital countermeasure. This study pioneers novel approach for identification prioritization potential forest areas suitable (PDFR), utilizing advancements in Earth observation data. Utilizing Landsat data within Google Engine, our PDFR method applies nuanced, phenology-based threshold classification to accurately map covers at 30-m resolution, distinguishing prime such evergreen,...