Google Earth Engine: a global analysis and future trends
A Velastegui-Montoya, N Montalván-Burbano… - Remote Sensing, 2023 - mdpi.com
The continuous increase in the volume of geospatial data has led to the creation of storage
tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform …
tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform …
[HTML][HTML] A census from heaven: Unraveling the potential of deep learning and Earth Observation for intra-urban population mapping in data scarce environments
Urban population distribution maps are vital elements for monitoring the Sustainable
Development Goals, appropriately allocating resources such as vaccination campaigns, and …
Development Goals, appropriately allocating resources such as vaccination campaigns, and …
The Synergy Between Remote Sensing and Social Sensing in Urban Studies: Review and perspectives
Urban studies require a rich set of information sources and techniques that enable a
comprehensive depiction of urban environments. Remote sensing captures physical …
comprehensive depiction of urban environments. Remote sensing captures physical …
Evaluation and analysis of upscaling of different land use/land cover products (FORM-GLC30, GLC_FCS30, CCI_LC, MCD12Q1 and CNLUCC): A case study in …
S He, J Li, J Wang, F Liu - Geocarto International, 2022 - Taylor & Francis
A rich of global land use/land cover (LULC) products exist, such as DISCover, FORM-
GLC30, CCI_LC, MCD12Q1, etc. These products play an extremely important role in the …
GLC30, CCI_LC, MCD12Q1, etc. These products play an extremely important role in the …
Projecting high resolution population distribution using Local Climate Zones and multi-source big data
High precision and easily updatable data on population estimates are critical for urban
planning, disaster risk assessment, and public health campaigns. However, traditional …
planning, disaster risk assessment, and public health campaigns. However, traditional …
The evolution and driving mechanism of land use classification systems in China
H Xiang - Scientific Reports, 2023 - nature.com
It is of great value to explore the evolution and dynamic mechanism of land use classification
systems, such as improving the current classification system and providing guidance for …
systems, such as improving the current classification system and providing guidance for …
[HTML][HTML] An ANN-based method C population Dasymetric mapping to avoid the scale heterogeneity: A case study in Hong Kong, 2016–2021
A comprehensive understanding of population distribution is critical for assessing socio-
economic issues. However, the widely used dasymetric mapping method relies on models …
economic issues. However, the widely used dasymetric mapping method relies on models …
[PDF][PDF] Daya Dukung Lahan Pertanian Di Kabupaten Kendal
NM Dwirani, TR Fariz, FE Riani… - Jurnal Teknologi …, 2022 - pdfs.semanticscholar.org
Kabupaten Kendal merupakan salah satu kabupaten di Jawa Tengah yang menjadi sentra
penghasil padi dan memiliki luas lahan sawah yang cukup luas. Kajian daya dukung lahan …
penghasil padi dan memiliki luas lahan sawah yang cukup luas. Kajian daya dukung lahan …
A novel approach to improve population mapping considering facility-based service capacity and land livability
Y Ma, C Zhou, M Li - International Journal of Geographical …, 2024 - Taylor & Francis
Social sensing data, including points-of-interest (POI) and mobile position, are important
data sources for population mapping. However, existing studies using POI data disregard …
data sources for population mapping. However, existing studies using POI data disregard …
High-resolution population mapping based on SDGSAT-1 glimmer imagery and deep learning: a case study of the Guangdong-Hong Kong-Marco Greater Bay Area
Accurate population mapping is crucial for disaster management, urban planning, etc.
However, current methods using nighttime light (NTL) and gridded population datasets are …
However, current methods using nighttime light (NTL) and gridded population datasets are …