Mapping impervious surface distribution in China using multi-source remotely sensed data

GIScience & Remote Sensing ◽

10.1080/15481603.2020.1744240 ◽

2020 ◽

Vol 57 (4) ◽

pp. 543-552

Author(s):

Guiying Li ◽

Longwei Li ◽

Dengsheng Lu ◽

Wei Guo ◽

Wenhui Kuang

Keyword(s):

Impervious Surface ◽

Remotely Sensed ◽

Remotely Sensed Data ◽

Surface Distribution

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Characterizing spatial structure of urban tree cover (UTC) and impervious surface cover (ISC) density using remotely sensed data in Osmaniye, Turkey

SN Applied Sciences ◽

10.1007/s42452-020-2154-0 ◽

2020 ◽

Vol 2 (3) ◽

Author(s):

Murat Atasoy

Keyword(s):

Spatial Structure ◽

Impervious Surface ◽

Remotely Sensed ◽

Remotely Sensed Data ◽

Surface Cover ◽

Impervious Surface Cover ◽

Urban Tree Cover

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Hybrid change detection for watershed impervious surface using multi-time remotely sensed data

2007 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2007.4423206 ◽

2007 ◽

Author(s):

Zhang Youjing ◽

Ma Xuemei ◽

Chen Liang

Keyword(s):

Change Detection ◽

Impervious Surface ◽

Remotely Sensed ◽

Remotely Sensed Data

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The Impacts of Impervious Surface on Water Quality in the Urban Agglomerations of Middle and Lower Reaches of the Yangtze River Economic Belt from Remotely Sensed Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2021.3106038 ◽

2021 ◽

pp. 1-1

Author(s):

Zhihui Li ◽

Lu Peng ◽

Feng Wu

Keyword(s):

Water Quality ◽

Yangtze River ◽

Impervious Surface ◽

Remotely Sensed ◽

The Yangtze River ◽

Remotely Sensed Data ◽

Urban Agglomerations

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Extraction and change detection of urban impervious surface using multitemporal remotely sensed data

10.1117/12.713005 ◽

2006 ◽

Author(s):

Youjing Zhang ◽

Xuemei Ma ◽

Liang Chen

Keyword(s):

Change Detection ◽

Impervious Surface ◽

Remotely Sensed ◽

Remotely Sensed Data ◽

Urban Impervious Surface

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An approach of hybrid change detection in watershed impervious surface using multi-time remotely sensed data

10.1117/12.693778 ◽

2006 ◽

Author(s):

Youjing Zhang ◽

Xuemei Ma ◽

Liang Chen

Keyword(s):

Change Detection ◽

Impervious Surface ◽

Remotely Sensed ◽

Remotely Sensed Data

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Relationships analysis of land surface temperature with vegetation indicators and impervious surface fraction by fusing multi-temporal and multi-sensor remotely sensed data

2015 Joint Urban Remote Sensing Event (JURSE) ◽

10.1109/jurse.2015.7120459 ◽

2015 ◽

Author(s):

Liwen Huang ◽

Huanfeng Shen ◽

Penghai Wu ◽

Liangpei Zhang ◽

Chao Zeng

Keyword(s):

Surface Temperature ◽

Land Surface Temperature ◽

Land Surface ◽

Impervious Surface ◽

Remotely Sensed ◽

Remotely Sensed Data ◽

Surface Fraction ◽

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Groundwater recharge estimation in karst aquifers of southern Apennines (Italy) by integration of remotely sensed data

Rendiconti online della Società Geologica Italiana ◽

10.3301/rol.2019.18 ◽

2019 ◽

Vol 47 ◽

pp. 97-101

Author(s):

Giovanni Ruggieri ◽

Vincenzo Allocca ◽

Flavio Borfecchia ◽

Pantaleone De Vita

Keyword(s):

Groundwater Recharge ◽

Remotely Sensed ◽

Karst Aquifers ◽

Southern Apennines ◽

Remotely Sensed Data ◽

Recharge Estimation

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Use of Remotely Sensed Data to extract geographical information of the area around Ballıhisar (Pessinus) in Central Anatolia. Field campaign, August 1992

Anatolia Antiqua ◽

10.3406/anata.1996.1193 ◽

1996 ◽

Vol 4 (1) ◽

pp. 97-109

Author(s):

Morgan De Dapper ◽

Pascal Brackman

Keyword(s):

Remotely Sensed ◽

Geographical Information ◽

Central Anatolia ◽

Remotely Sensed Data ◽

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Applying generalized additive model to integrate digital elevation model and remotely sensed data to predict the vegetation distribution

Chinese Journal of Plant Ecology ◽

10.3724/sp.j.1258.2012.01106 ◽

2013 ◽

Vol 36 (10) ◽

pp. 1106-1119

Author(s):

Chuang-Ye SONG ◽

Hui-Ming LIU ◽

Gao-Huan LIU ◽

Chong HUANG

Keyword(s):

Digital Elevation Model ◽

Generalized Additive Model ◽

Additive Model ◽

Remotely Sensed ◽

Vegetation Distribution ◽

Remotely Sensed Data ◽

Digital Elevation ◽

Elevation Model

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Automated Target Detection and Grouping From Remotely Sensed Data

10.21236/ada484352 ◽

2006 ◽

Author(s):

Brian Bonnlander ◽

Clark Glymour ◽

Choh M. Teng

Keyword(s):

Target Detection ◽

Remotely Sensed ◽

Remotely Sensed Data ◽

Automated Target Detection

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