Welcome to the ALICE laboratory, dedicated to pioneering scientific research in climate, hydrology, environment, and agriculture in Asian regions, which historically deprived of crucial data. Our team prioritize the integration of advanced methodologies such as hydrology and land surface modeling, remote sensing, artificial intelligence (AI), data assimilation, and computational hydrology (via high-performance computing; HPC) to overcome data scarcity challenges. Our mission is to not only collect and analyze high-quality data but also to develop innovative techniques that enhance our understanding of the intricate relationships between climate, hydrological processes, and agricultural systems. By harnessing the power of cutting-edge technologies and fostering interdisciplinary collaboration, we aim to fill knowledge gaps, empower decision-makers, and drive sustainable development in data-sparse areas worldwide. Join us as we embark on a journey to revolutionize scientific research and create positive impact in communities facing data scarcity challenges.
Dataset Updates
Featured News
“High-Resolution Land Surface Modeling for Drought, Flood, and Hydro-Climate Prediction in Thailand”
The collaboration between ALICE-LAB and HII advances Thailand’s hydro-climate resilience by improving land-surface modeling, with a particular focus on soil moisture and soil temperature dynamics that underpin drought and flood prediction. Using an offline Noah-MP Land Surface Model, the project systematically evaluates land-surface processes, model physics, and forcing uncertainties without atmospheric feedback interference. Emphasis is placed on refining soil moisture simulation, water and energy fluxes, and their role in agricultural water management and sub-seasonal to seasonal (S2S) forecasting. The system is benchmarked against reanalysis products, satellite soil-moisture observations, and diverse Earth-observation datasets to identify strengths and limitations across climates and land-cover types. Ultimately, the initiative provides a validated pathway for integrating enhanced land-surface modeling into HII’s coupled S2S forecasting system, bridging process-based modeling, satellite Earth observation, hydroinformatics, and AI to support next-generation hydro-climate prediction in Thailand and Southeast Asia.
The project “Enhancing Agricultural Water Use Efficiency with Geospatial Technology” is a collaboration between ALICE-LAB and GISTDA to advance sustainable agriculture in Thailand by optimizing water use. Recognizing water as a finite resource, the initiative integrates satellite data from MODIS, Landsat 8/9, and Sentinel-2 with ground-based meteorological inputs to calculate precise crop evapotranspiration (ET) values. Building on earlier work with rice and durian in 2025, this phase expands to six major crops—maize, cassava, sugarcane, mango, coconut, and longan—through geospatial modeling using Penman-Monteith and SEBAL equations. The workflow includes data ingestion, cloud masking, gap filling, and rigorous model validation to ensure high-confidence plot-level analysis. Deliverables encompass detailed reports and open-source code, supporting dynamic monitoring and economic assessments of agricultural water use nationwide.
Our research team successfully organized the Satellite Gravimetry Summer School 2026, held on 23–24 July 2026 under the research project: “Enhancing Satellite Gravimetry Data for Sustainable Water Resource and Disaster Management in Thailand and Southeast Asia” funded by the Program Management Unit for Human Resources & Institutional Development, Research and Innovation (PMU-B)
The two-day Summer School aimed to introduce the principles of Satellite Gravimetry and demonstrate how GRACE/GRACE-FO satellite observations can be applied to monitor terrestrial water storage, support integrated water resources management, and improve disaster monitoring and climate resilience.
The event also provided an excellent platform for researchers, government agencies, universities, and young professionals to exchange knowledge and establish collaborative networks.
We are pleased to invite researchers, academics, students, and professionals in water resources, climate, environmental sciences, and disaster management to participate in the Satellite Gravimetry Summer School 2026. This training program is organized under the research project: “Enhancing Satellite Gravimetry Data for Sustainable Water Resource and Disaster Management in Thailand and Southeast Asia” funded by the Program Management Unit for Human Resources & Institutional Development, Research and Innovation (PMU-B). The Summer School aims to strengthen regional capacity in the utilization of satellite gravimetry data, particularly from the GRACE and GRACE-FO missions, for monitoring terrestrial water storage, assessing climate variability impacts, and supporting evidence-based water and disaster management.
The project seeks to revolutionize how Thailand and Southeast Asia monitor environmental changes by leveraging frontier Earth and Space Technology. Funded by the Program Management Unit for Frontier Brainpower and Future Industries (PMU-B), this initiative addresses a critical gap where global gravity data from the GRACE and GRACE-FO missions is currently provided at a spatial resolution (~300 km) too low for localized basin management. To resolve this, the project implements advanced regional processing and data integration techniques to sharpen these signals into high-resolution datasets.
Our laboratory is developing cutting-edge scientific methodologies to enhance satellite gravimetry products and expand their applicability for water resources, climate variability, and natural hazard assessments in Thailand and Southeast Asia. To support this effort, we are pleased to invite applications from motivated scientists to join our growing research team.
The workshop of “Nature-based Solutions for Enhancing Water Security in Chiang Rai” was attended by 25 participants from a variety of organizations, including the Chiang Rai Provincial Irrigation Office (RID), the International Union for Conservation of Nature (IUCN), the Chiang Rai Provincial Office of Natural Resources and Environment, the Chiang Rai Provincial Department of Disaster Prevention and Mitigation (DDPM), and the Chiang Rai Municipality. The primary objectives were to explore current water security scenarios and to co-develop ideal community adaptation strategies to address water-related hazards.
This workshop is a vital part of a larger project tackling Chiang Rai’s growing water security issues, which are worsened by climate change and rapid urbanization. Moving beyond traditional infrastructure, we are promoting Nature-based Solutions (NbS) as a more sustainable approach. This event is designed to bring key people together, so we can collectively understand the challenges and co-develop effective, local strategies to build a more resilient community.
A critical new era for Thailand’s climate resilience began today as our lab officially joined forces with the Asian Disaster Preparedness Center (ADPC) and key Thai government partners. At a high-profile kick-off event, our team solidified its pivotal role in a groundbreaking initiative to develop state-of-the-art flood risk assessments for two of Thailand’s most vulnerable river basins.
RECENTLY PUBLISHED
Our recent publications showcase our team’s ongoing research on satellite geodesy, terrestrial water storage variability, groundwater depletion, cryosphere dynamics, and hydrological modeling. These studies contribute to improving our understanding of global water cycle processes and large-scale mass change monitoring using advanced Earth observation and data analysis approaches.
FUTURE HYDRO-CLIMATIC VULNERABILITY
This study highlights a critical hydro-agronomic paradox for Thailand: while climate change will increase regional precipitation and Terrestrial Water Storage (TWS), rising late-century temperatures and extreme heat stress will decouple water availability from actual crop productivity. The impacts are highly crop-specific, with sensitive commodities like sugarcane and rice facing severe yield declines due to thermal stress during critical growth stages, while upland crops like maize and cassava show much stronger resilience. Ultimately, traditional solutions like irrigation expansion will be insufficient, demanding a shift toward adaptive management through dynamic crop calendars, heat-tolerant seed varieties, and regional crop portfolio diversification.
TRIPLE COLLOCATION FOR STREAMFLOW ESTIMATION
Global streamflow estimation is advancing through the integration of multiple hydrological models using the Triple Collocation (TC) method. By combining outputs from CWatM, PCR‑GLOBWB, and H08 at high spatial resolution, this study delivers more accurate river discharge simulations across 1,707 global stations and 62 sites in Thailand. The results show that high‑resolution modeling and TC fusion significantly enhance reliability, outperforming individual models and simple averaging. This approach strengthens water resource management, flood forecasting, and drought mitigation worldwide—marking a major step toward globally consistent, data‑driven hydrological assessment.
GRACE/-FO DATA ASSIMILATION– Best Practices & Future Directions
GRACE and GRACE‑FO satellite data assimilation has transformed monitoring of Earth’s water cycle. By merging coarse satellite observations with fine‑scale hydrological models, it improves detection of groundwater loss, snowpack changes, floods, and droughts. This approach bridges science and practice, delivering actionable insights for water management, climate resilience, and disaster preparedness. With next‑generation missions, low‑latency products, and machine learning hybrids on the horizon, GRACE/-FO assimilation is set to become an even more powerful tool for safeguarding global freshwater resources.
Dive into our comprehensive research themes at the Asian Land Information for Climate and Environmental Research Laboratory (ALICE-LAB). Our focus areas include:
Explore the cutting-edge technology that enables us to observe and understand our planet from space. Satellite remote sensing is a powerful tool that leverages advanced sensors and sophisticated algorithms to collect valuable data about the Earth’s surface, atmosphere, and oceans.
Understanding and simulating the dynamic processes that govern the Earth’s land surfaces and water systems. Our advanced modeling techniques integrate satellite remote sensing data, field observations, and computational algorithms to provide comprehensive insights into land and water resource management, environmental monitoring, and climate change impacts.
Discover how AI and big data are transforming water management and satellite technologies. Advanced algorithms and extensive datasets enhance real-time monitoring, predictive analytics, and decision-making across water resources and satellite applications.
Explore our extensive datasets and advanced tools essential for water engineering and management research. Access detailed research records, information, land use data, and more to support your studies and drive sustainable solutions.
