[HTML][HTML] Integrating remote sensing and geospatial big data for urban land use mapping: A review
Remote Sensing (RS) has been used in urban mapping for a long time; however, the
complexity and diversity of urban functional patterns are difficult to be captured by RS only …
complexity and diversity of urban functional patterns are difficult to be captured by RS only …
Mapping winter crops in China with multi-source satellite imagery and phenology-based algorithm
Timely and accurate mapping of winter crop planting areas in China is important for food
security assessment at a national level. Time-series of vegetation indices, such as the …
security assessment at a national level. Time-series of vegetation indices, such as the …
A unified deep learning framework for urban functional zone extraction based on multi-source heterogeneous data
Remote sensing imagery (RSI) and point of interest (POI) are two complementary data for
urban functional zone (UFZ) extraction. However, current methods only use single data or …
urban functional zone (UFZ) extraction. However, current methods only use single data or …
Geographic mapping with unsupervised multi-modal representation learning from VHR images and POIs
Most supervised geographic mapping methods with very-high-resolution (VHR) images are
designed for a specific task, leading to high label-dependency and inadequate task …
designed for a specific task, leading to high label-dependency and inadequate task …
SO–CNN based urban functional zone fine division with VHR remote sensing image
W Zhou, D Ming, X Lv, K Zhou, H Bao… - Remote Sensing of …, 2020 - Elsevier
Functional zone reflects city's spatial structures, and as a carrier of social and economic
activities, it is of critical significance to urban management, resource allocation and …
activities, it is of critical significance to urban management, resource allocation and …
Effects of building density on land surface temperature in China: Spatial patterns and determinants
The effects of building density on land surface temperature (LST) and its spatial patterns
remain poorly understood over large areas. Using Landsat 8 satellite imagery, we quantified …
remain poorly understood over large areas. Using Landsat 8 satellite imagery, we quantified …
Estimating urban functional distributions with semantics preserved POI embedding
We present a novel approach for estimating the proportional distributions of function types
(ie functional distributions) in an urban area through learning semantics preserved …
(ie functional distributions) in an urban area through learning semantics preserved …
Investigative spatial distribution and modelling of existing and future urban land changes and its impact on urbanization and economy
Land use and land cover (LULC) change analysis is a critical instrument for studying urban
growth across the world. Our objectives were to produce historical LULC maps during the …
growth across the world. Our objectives were to produce historical LULC maps during the …
Identification of urban functional areas based on POI data: A case study of the Guangzhou economic and technological development zone
Y Hu, Y Han - Sustainability, 2019 - mdpi.com
Functional areas are the basic spatial units in which cities or development zones implement
urban plans and provide functions. Internet map big data technology provides a new method …
urban plans and provide functions. Internet map big data technology provides a new method …
SALT: A multifeature ensemble learning framework for mapping urban functional zones from VGI data and VHR images
Urban functional zone mapping is essential for providing deeper insights into urban
morphology and improving urban planning. The emergence of Volunteered Geographic …
morphology and improving urban planning. The emergence of Volunteered Geographic …