@article{e381a0084f7740859f93808806bb445e,
title = "Satellite-based drought impact assessment on rice yield in Thailand with SIMRIW-RS",
abstract = "Advances in remote sensing technologies have enabled effective drought monitoring globally, even in data-limited areas. However, the negative impact of drought on crop yields still necessitates stakeholders to make informed decisions according to its severity. This research proposes an algorithm to combine a drought monitoring model, based on rainfall, land surface temperature (LST), and normalized difference vegetation index/leaf area index (NDVI/LAI) satellite products, with a crop simulation model to assess drought impact on rice yields in Thailand. Typical crop simulation models can provide yield information, but the requirement for a complicated set of inputs prohibits their potential due to insufficient data. This work utilizes a rice crop simulation model called the Simulation Model for Use with Remote Sensing (SIMRIW-RS), whose inputs can mostly be satisfied by such satellite products. Based on experimental data collected during the 2018/19 crop seasons, this approach can successfully provide a drought monitoring function as well as effectively estimate the rice yield with mean absolute percentage error (MAPE) around 5%. In addition, we show that SIMRIW-RS can reasonably predict the rice yield when historical weather data is available. In effect, this research contributes a methodology to assess the drought impact on rice yields on a farm to regional scale, relevant to crop insurance and adaptation schemes to mitigate climate change.",
keywords = "Crop simulation, Drought assessment, LAI, LST, NDVI, Yield estimation",
author = "Mongkol Raksapatcharawong and Watcharee Veerakachen and Koki Homma and Masayasu Maki and Kazuo Oki",
note = "Funding Information: This research was funded by the Science and Technology Research Partnership for Sustainable Development (SATREPS), JST-JICA, under the project {"}Advancing Co-design of Integrated Strategies with Adaptation to Climate Change in Thailand (ADAP-T){"}, sub-project {"}The Development of Drought Risk Analysis Platform using Multiple Satellite Sensors and Yield Estimation by AquaCrop/SIMRIW-RS Models with Satellite Drought Indices{"}. The authors acknowledge CSRS staff for their efforts in field data collection and handling the experiments. This work could not have been successful without their support. Funding Information: Funding: This research was funded by the Science and Technology Research Partnership for Sustainable Development (SATREPS), JST–JICA, under the project “Advancing Co-design of Integrated Strategies with Adaptation to Climate Change in Thailand (ADAP–T)”, sub-project “The Development of Drought Risk Analysis Platform using Multiple Satellite Sensors and Yield Estimation by AquaCrop/SIMRIW-RS Models with Satellite Drought Indices”. Publisher Copyright: {\textcopyright} 2020 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2020",
month = jul,
day = "1",
doi = "10.3390/rs12132099",
language = "English",
volume = "12",
journal = "Remote Sensing",
issn = "2072-4292",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "13",
}