Please wait a minute...
Home
About Journal
Editorial Board
Instruction
Subscription
Advertisement
Contact us
中文
REMOTE SENSING FOR LAND & RESOURCES
1998
,
Vol. 10
Issue (2)
: 24-32
DOI
: 10.6046/gtzyyg.1998.02.04
Review
|
Abstract
Related Articles
Metrics
Download:
PDF
(758 KB)
Export:
BibTeX
|
EndNote
|
Reference Manager
|
ProCite
|
RefWorks
Keywords
Beijing-Tianjin-Hebei metropolitan circle
MODIS
Temperature anomaly map
Thermal landscape
Spatial 
pattern
Issue Date:
02 August 2011
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
HU Shu-Jing
HU De-Yong
LI Xiao-Juan
WANG Rong-Hua
LIU Shi-Yi
TIAN Qian-Ning
ZHAO Jin-Shui
HE Xian-Ming
JIAO Meng-Mei
HU Lin-Zhen
LIU Ling
Cite this article:
HU Shu-Jing,HU De-Yong,LI Xiao-Juan, et al. [J]. REMOTE SENSING FOR LAND & RESOURCES, 1998, 10(2): 24-32.
URL:
https://www.gtzyyg.com/EN/10.6046/gtzyyg.1998.02.04
OR
https://www.gtzyyg.com/EN/Y1998/V10/I2/24
[1]
HU Yingying, DAI Shengpei, LUO Hongxia, LI Hailiang, LI Maofen, ZHENG Qian, YU Xuan, LI Ning.
Spatio-temporal change characteristics of rubber forest phenology in Hainan Island during 2001—2015
[J]. Remote Sensing for Natural Resources, 2022, 34(1): 210-217.
[2]
LI Teya, SONG Yan, YU Xinli, ZHOU Yuanxiu.
Monthly production estimation model for steel companies based on inversion of satellite thermal infrared temperature
[J]. Remote Sensing for Natural Resources, 2021, 33(4): 121-129.
[3]
WANG Meiya, XU Hanqiu.
A comparative study on the changes in heat island effect in Chinese and foreign megacities
[J]. Remote Sensing for Natural Resources, 2021, 33(4): 200-208.
[4]
ZHANG Aizhu, WANG Wei, ZHENG Xiongwei, YAO Yanjuan, SUN Genyun, XIN Lei, WANG Ning, HU Guang.
A hierarchical spatial-temporal fusion model
[J]. Remote Sensing for Natural Resources, 2021, 33(3): 18-26.
[5]
WEI Geng, HOU Yuqiao, ZHA Yong.
Analysis of aerosol type changes in Wuhan City under the outbreak of COVID-19 epidemic
[J]. Remote Sensing for Natural Resources, 2021, 33(3): 238-245.
[6]
JIANG Yanan, ZHANG Xin, ZHANG Chunlei, ZHONG Chengcheng, ZHAO Junfang.
Classification of remote sensing images based on multi-scale feature fusion using local binary patterns
[J]. Remote Sensing for Natural Resources, 2021, 33(3): 36-44.
[7]
WEI Geng, HOU Yuqiao, HAN Jiamei, ZHA Yong.
The estimation of PM
2.5
mass concentration based on fine-mode aerosol and WRF model
[J]. Remote Sensing for Land & Resources, 2021, 33(2): 66-74.
[8]
CHEN Baolin, ZHANG Bincai, WU Jing, LI Chunbin, CHANG Xiuhong.
Historical average method used in MODIS image pixel cloud compensation: Exemplified by Gansu Province
[J]. Remote Sensing for Land & Resources, 2021, 33(2): 85-92.
[9]
JIANG Lei, HAN Weizheng, SUN Lina.
A study on regional ecological barrier construction based on landscape ecological risk
[J]. Remote Sensing for Land & Resources, 2020, 32(4): 219-226.
[10]
WU Zhaopeng, NIU Sujuan, MAO Min, Yurimatih Amat, ZHANG Jinyan.
Remote sensing research on the spatial-temporal pattern of “cold island effect” of oasis in Jinghe River basin
[J]. Remote Sensing for Land & Resources, 2020, 32(3): 106-113.
[11]
YANG Huan, DENG Fan, ZHANG Jiahua, WANG xueting, MA Qingxiao, XU Nuo.
A study of information extraction of rape and winter wheat planting in Jianghan Plain based on MODIS EVI
[J]. Remote Sensing for Land & Resources, 2020, 32(3): 208-215.
[12]
Aibin WU, Yanxia ZHAO, Yanjie QIN, Huitao SHEN, Qinchen LI.
A study of topographical differentiation of ecological land spatial-temporal pattern in Hebei Province
[J]. Remote Sensing for Land & Resources, 2020, 32(2): 146-153.
[13]
Gang DENG, Zhiguang TANG, Chaokui LI, Hao CHEN, Huanhua PENG, Xiaoru WANG.
Extraction and analysis of spatiotemporal variation of rice planting area in Hunan Province based on MODIS time-series data
[J]. Remote Sensing for Land & Resources, 2020, 32(2): 177-185.
[14]
Kailun JIN, Lu HAO.
Evapotranspiration estimation in the Jiangsu-Zhejiang-Shanghai Area based on remote sensing data and SEBAL model
[J]. Remote Sensing for Land & Resources, 2020, 32(2): 204-212.
[15]
Bing ZHAO, Kebiao MAO, Yulin CAI, Xiangjin MENG.
Study of the temporal and spatial evolution law of land surface temperature in China
[J]. Remote Sensing for Land & Resources, 2020, 32(2): 233-240.
Viewed
Full text
Abstract
Cited
Shared
Discussed
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by
Beijing Magtech