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Assessing regional ecosystem conditions using geospatial techniques—a review
Ecosystem conditions at the regional level are critical factors for environmental
management, public awareness, and land use decision making. Regional ecosystem …
management, public awareness, and land use decision making. Regional ecosystem …
Automatic detection and counting of oil palm trees using remote sensing and object-based deep learning
Palm oil is one of the world's highest vegetable oil producers. Providing accurate oil palm
plantation statistics is essential to supporting effective and efficient decision-making …
plantation statistics is essential to supporting effective and efficient decision-making …
Building footprint extraction and counting on very high-resolution satellite imagery using object detection deep learning framework
Building footprints are the most visible features in urban areas. Detecting building footprint
has a substantial position in decision-making problems such as city planning and …
has a substantial position in decision-making problems such as city planning and …
China's poverty alleviation policy promoted ecological-economic collaborative development: Evidence from poverty-stricken counties on the Qinghai-Tibet Plateau
L Hua, R Ran, M ** in East Java, Indonesia: Machine learning and deep learning approaches
This study proposes a novel approach to provide a more granular poverty map in terms of
coverage (up to a grid level with the spatial resolution of 1.5 km) with less cost and time to …
coverage (up to a grid level with the spatial resolution of 1.5 km) with less cost and time to …
[HTML][HTML] Multi-criteria assessment for city-wide rooftop solar PV deployment: A case study of Bandung, Indonesia
The world faces the threat of an energy crisis that is exacerbated by the dominance of fossil
energy sources that negatively impact the sustainability of the earth's ecosystem. Currently …
energy sources that negatively impact the sustainability of the earth's ecosystem. Currently …
Oil palm trees detection and counting on Microsoft Bing Maps Very High Resolution (VHR) satellite imagery and Unmanned Aerial Vehicles (UAV) data using image …
Palm oil is one of the highest producing vegetable oil crops globally, with production
increasing rapidly over the last 40 years from 5 million tonnes in 1980 to 74.5 million tonnes …
increasing rapidly over the last 40 years from 5 million tonnes in 1980 to 74.5 million tonnes …
[HTML][HTML] Grid-scale poverty assessment by integrating high-resolution nighttime light and spatial big data—A case study in the Pearl River Delta
M Li, J Lin, Z Ji, K Chen, J Liu - Remote Sensing, 2023 - mdpi.com
Poverty is a social issue of global concern. Although socioeconomic indicators can easily
reflect poverty status, the coarse statistical scales and poor timeliness have limited their …
reflect poverty status, the coarse statistical scales and poor timeliness have limited their …
Spatially granular poverty index (SGPI) for urban poverty map** in Jakarta metropolitan area (JMA): a remote sensing satellite imageries and geospatial big data …
Accurate and comprehensive urban poverty monitoring is undoubtedly essential to support
the urban poverty alleviation targets in many develo** countries. The currently available …
the urban poverty alleviation targets in many develo** countries. The currently available …
Indonesia's poverty puzzle: Chronic vs. transient poverty dynamics
Indonesia has lowered the total poverty rate by less than 10%. Earlier poverty
measurements in Indonesia suggest that transient poverty is more prevalent. We argue that …
measurements in Indonesia suggest that transient poverty is more prevalent. We argue that …