Results 31 to 40 of about 1,556,955 (77)

A Two-Phase Clustering Approach for Urban Hotspot Detection With Spatiotemporal and Network Constraints

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Urban hotspots are regions with intensive passenger flow, sound infrastructure, and thriving business during a certain period of time, which mirror the travel behavior of residents.
Feng Li, Wenzhong Shi, Hua Zhang
doaj   +1 more source

Local Climate Zone Classification by Seasonal and Diurnal Satellite Observations: An Integration of Daytime Thermal Infrared Multispectral Imageries and High-Resolution Night-Time Light Data

Remote Sensing, 2023
Accurate, rapid, and automatic local climate zone (LCZ) mapping is essential for urban climatology and studies in terms of urban heat islands. Remotely sensed imageries incorporated with machine learning algorithms are widely utilized in LCZ labeling ...
Ziyu Wang, Shisong Cao, Mingyi Du, Wen Song, Jinling Quan, Yang Lv   +5 more
doaj   +1 more source

A New Method for Building-Level Population Estimation by Integrating LiDAR, Nighttime Light, and POI Data

Journal of Remote Sensing, 2021
Building-level population data are of vital importance in disaster management, homeland security, and public health. Remotely sensed data, especially LiDAR data, which allow measures of three-dimensional morphological information, have been shown to be ...
Hongxing Chen, Bin Wu, Bailang Yu, Zuoqi Chen, Qiusheng Wu, Ting Lian, Congxiao Wang, Qiaoxuan Li, Jianping Wu   +8 more
doaj   +1 more source

Multi-Scale Estimation of Urban Carbon Emissions Using Nighttime Light Data: A Case Study of Nanjing, China

Applied Sciences
Rapid urbanization and associated greenhouse gas emissions pose severe challenges to global climate goals. Accurately estimating urban carbon emissions at fine administrative scales is a critical prerequisite for spatially differentiated mitigation ...
Xin Zhou, Ge Shi, Lin Sun, Jiantao Shi, Chuang Chen, Lihang Feng, Bo Wang   +6 more
doaj   +1 more source

A comparative study of deep learning methods for super-resolution of NPP-VIIRS nighttime light images

International Journal of Applied Earth Observations and Geoinformation
Nighttime light imagery plays a crucial role in diverse applications such as urban planning, environmental monitoring, and economic analysis. Although NPP-VIIRS provides a long and continuous Nighttime light time series, its relatively low spatial ...
Chaolong Zhang, Zhihui Mao, Juan Nie, Yushi Lai, Lei Deng   +4 more
doaj   +1 more source

refc discourse--defn--01

, 2023
refc discourse--defn ...
Karl Soens (17082376)
core   +1 more source

group-01-anat.tar

, 2022
Group 01 anatomicals 
Matthew Brett (7430861)
core   +1 more source

Enhancing County-Level GDP Estimation Accuracy With Downscaled NPP-VIIRS Nighttime Light Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Nighttime light (NTL) data have provided invaluable support for estimating gross domestic product (GDP). However, commonly used global-scale NTL data acquired by the visible infrared imaging radiometer suite (VIIRS) aboard the Suomi National Polar ...
Weihua Lin, Weixing Xu, Zhaocong Wu, Jiaheng Cao   +3 more
doaj   +1 more source

List of Content JSI Vol 6, No. 01 2023

, 2023
List of Content JSI Vol 6, No.
February 2023, Vol. 6 No. 01,
core  

La re-extracción de áreas urbanizadas basado en las imágenes de luces nocturnas de alta resolución. Caso de estudio: Shenzhen, Guangdong, China [PDF]

, 2019
Màster universitari en Estudis Avançats en Arquitectura: Gestió i Valoració Urbana i ArquitectònicaIndependientemente de la escala regional o global, la definición del área urbanizada es una base importante para el monitoreo y la gestión del desarrollo ...
Zheng, Qianhui
core