A synthesis of hydroclimatic, ecological, and socioeconomic data for transdisciplinary research in the Mekong
Abstract The Mekong River basin (MRB) is a transboundary basin that supports livelihoods
of over 70 million inhabitants and diverse terrestrial-aquatic ecosystems. This critical lifeline …
of over 70 million inhabitants and diverse terrestrial-aquatic ecosystems. This critical lifeline …
Automatic detection of impervious surfaces from remotely sensed data using deep learning
The large scale quantification of impervious surfaces provides valuable information for
urban planning and socioeconomic development. Remote sensing and GIS techniques …
urban planning and socioeconomic development. Remote sensing and GIS techniques …
A near real-time mapping of tropical forest disturbance using sar and semantic segmentation in google earth engine
Satellite-based forest alert systems are an important tool for ecosystem monitoring, planning
conservation, and increasing public awareness of forest cover change. Continuous …
conservation, and increasing public awareness of forest cover change. Continuous …
Opportunities in farming research from an operations management perspective
S Gupta, H Rikhtehgar Berenji… - Production and …, 2023 - journals.sagepub.com
We review and analyze the farming (upstream agribusiness supply chain) research literature
since 1965 to identify farming research opportunities for operations management (OM) …
since 1965 to identify farming research opportunities for operations management (OM) …
Are there suitable global datasets for monitoring of land use and land cover in the tropics? Evidences from mainland Southeast Asia
J Zhai, C Xiao, Z Feng, Y Liu - Global and Planetary Change, 2023 - Elsevier
Abstract The freely available Land Use and Land Cover (LULC) datasets are effective tool
for tracking land surface changes, ecosystem dynamics, and carbon cycle. However, the …
for tracking land surface changes, ecosystem dynamics, and carbon cycle. However, the …
A comparison of three temporal smoothing algorithms to improve land cover classification: a case study from NEPAL
Time series land cover data statistics often fluctuate abruptly due to seasonal impact and
other noise in the input image. Temporal smoothing techniques are used to reduce the noise …
other noise in the input image. Temporal smoothing techniques are used to reduce the noise …
Mapping sugarcane in Thailand using transfer learning, a lightweight convolutional neural network, NICFI high resolution satellite imagery and Google Earth Engine
Air pollution from burning sugarcane is an important environmental issue in Thailand.
Knowing the location and extent of sugarcane plantations would help in formulating effective …
Knowing the location and extent of sugarcane plantations would help in formulating effective …
Land use and land cover change implications on agriculture and natural resource management of Koah Nheaek, Mondulkiri province, Cambodia
Monitoring and mapping land use and land cover (LULC) changes is crucial for determining
plausible resource availability in the future, and for providing policy implications towards the …
plausible resource availability in the future, and for providing policy implications towards the …
Machine Learning-Based examination of recent mangrove forest changes in the western Irrawaddy River Delta, Southeast Asia
Mangrove forests serve as a significant carbon sink and provide effective shoreline
protection against devastating winds. However, these forests are facing an unprecedented …
protection against devastating winds. However, these forests are facing an unprecedented …
A review of Google Earth Engine application in mapping aquaculture ponds
Abstract Google Earth Engine (GEE) can effectively monitor aquaculture ponds, but it is
underutilized. This paper aims to review the application of GEE in mapping aquaculture …
underutilized. This paper aims to review the application of GEE in mapping aquaculture …