[HTML][HTML] Integrating remote sensing and geospatial big data for urban land use mapping: A review

J Yin, J Dong, NAS Hamm, Z Li, J Wang, H Xing… - International Journal of …, 2021 - Elsevier
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 …

Mapping winter crops in China with multi-source satellite imagery and phenology-based algorithm

H Tian, N Huang, Z Niu, Y Qin, J Pei, J Wang - Remote sensing, 2019 - mdpi.com
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 …

A unified deep learning framework for urban functional zone extraction based on multi-source heterogeneous data

W Lu, C Tao, H Li, J Qi, Y Li - Remote Sensing of Environment, 2022 - Elsevier
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 …

Geographic mapping with unsupervised multi-modal representation learning from VHR images and POIs

L Bai, W Huang, X Zhang, S Du, G Cong… - ISPRS Journal of …, 2023 - Elsevier
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 …

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 …

Effects of building density on land surface temperature in China: Spatial patterns and determinants

J Song, W Chen, J Zhang, K Huang, B Hou… - Landscape and Urban …, 2020 - Elsevier
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 …

Estimating urban functional distributions with semantics preserved POI embedding

W Huang, L Cui, M Chen, D Zhang… - International Journal of …, 2022 - Taylor & Francis
We present a novel approach for estimating the proportional distributions of function types
(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

TA Akbar, QK Hassan, S Ishaq, M Batool, HJ Butt… - Remote Sensing, 2019 - mdpi.com
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 …

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 …

SALT: A multifeature ensemble learning framework for mapping urban functional zones from VGI data and VHR images

H Wu, W Luo, A Lin, F Hao… - … Environment and Urban …, 2023 - Elsevier
Urban functional zone mapping is essential for providing deeper insights into urban
morphology and improving urban planning. The emergence of Volunteered Geographic …