Discharge estimation for medium-sized river using multi-temporal remote sensing data: a case study in Brazil

Hydrological Sciences Journal ◽

10.1080/02626667.2020.1808220 ◽

2020 ◽

Vol 65 (14) ◽

pp. 2402-2418

Author(s):

Évelyn Márcia Pôssa ◽

Philippe Maillard ◽

Lília Maria de Oliveira

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Sensing Data ◽

Multi Temporal ◽

Discharge Estimation

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Human settlement analysis based on multi-temporal remote sensing data-a case study of Xuzhou, China

2015 Joint Urban Remote Sensing Event (JURSE) ◽

10.1109/jurse.2015.7120537 ◽

2015 ◽

Author(s):

Kun Tan ◽

Jishuai Zhu

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Human Settlement ◽

Sensing Data ◽

Multi Temporal ◽

Settlement Analysis

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Human settlement analysis based on multi-temporal remote sensing data: A case study of Xuzhou City, China

Chinese Geographical Science ◽

10.1007/s11769-016-0815-0 ◽

2016 ◽

Vol 26 (3) ◽

pp. 389-400 ◽

Author(s):

Jishuai Zhu ◽

Shufang Tian ◽

Kun Tan ◽

Peijun Du

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Human Settlement ◽

Sensing Data ◽

Xuzhou City ◽

Multi Temporal ◽

Settlement Analysis

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Multi-temporal remote sensing data and spectral indices analysis for detection tropical rainforest degradation: case study in Kapuas Hulu and Sintang districts, West Kalimantan, Indonesia

Natural Hazards ◽

10.1007/s11069-015-2023-0 ◽

2015 ◽

Vol 80 (2) ◽

pp. 1279-1301 ◽

Author(s):

Parwati Sofan ◽

Yenni Vetrita ◽

Fajar Yulianto ◽

Muhammad Rokhis Khomarudin

Keyword(s):

Remote Sensing ◽

Tropical Rainforest ◽

Remote Sensing Data ◽

Spectral Indices ◽

West Kalimantan ◽

Sensing Data ◽

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Changes of glacier lakes using multi-temporal remote sensing data: A case study from India

Geographica Pannonica ◽

10.5937/geopan1703132k ◽

2017 ◽

Vol 21 (3) ◽

pp. 132-141

Author(s):

Rai Kumar ◽

Mishra Narayan

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Sensing Data ◽

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Improving canopy variables estimation from remote sensing data by exploiting ancillary information. Case study on sugar beet canopies

Agronomie ◽

10.1051/agro:2002008 ◽

2002 ◽

Vol 22 (2) ◽

pp. 205-215 ◽

Author(s):

Bruno Combal ◽

Fr�d�ric Baret ◽

Marie Weiss

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Sensing Data ◽

Ancillary Information

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Water extend estimation over vegetated terrains in coastal area using multitemporal remote sensing data: a case study in Tumpat, Malaysia

7th Brunei International Conference on Engineering and Technology 2018 (BICET 2018) ◽

10.1049/cp.2018.1553 ◽

2018 ◽

Author(s):

Z. Rahimi ◽

F. Othman

Keyword(s):

Remote Sensing ◽

Coastal Area ◽

Remote Sensing Data ◽

Sensing Data ◽

Multitemporal Remote Sensing

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Evaluating change detection techniques using remote sensing data: Case study New Administrative Capital Egypt

The Egyptian Journal of Remote Sensing and Space Science ◽

10.1016/j.ejrs.2021.03.001 ◽

2021 ◽

Author(s):

Ahmed Saber ◽

Ibrahim El-Sayed ◽

Mustafa Rabah ◽

Mohamed Selim

Keyword(s):

Remote Sensing ◽

Change Detection ◽

Remote Sensing Data ◽

Detection Techniques ◽

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The potential of nighttime light remote sensing data to evaluate the development of digital economy: A case study of China at the city level

Computers Environment and Urban Systems ◽

10.1016/j.compenvurbsys.2021.101749 ◽

2022 ◽

Vol 92 ◽

pp. 101749

Author(s):

Zuoqi Chen ◽

Ye Wei ◽

Kaifang Shi ◽

Zhiyuan Zhao ◽

Congxiao Wang ◽

...

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Digital Economy ◽

Sensing Data ◽

Nighttime Light ◽

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Modeling Spatio-temporal Drought Events Based on Multi-temporal, Multi-source Remote Sensing Data Calibrated by Soil Humidity

Chinese Geographical Science ◽

10.1007/s11769-021-1250-4 ◽

2021 ◽

Author(s):

Hanyu Li ◽

Hermann Kaufmann ◽

Guochang Xu

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Soil Humidity ◽

Sensing Data ◽

Multi Temporal ◽

Spatio Temporal

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A suitalbe solution for extraction of alteration anomalies from the remote sensing data: A case study of the Baogutu porphyry copper deposit intrusion, Xinjiang, China using Aster data

2009 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2009.5418086 ◽

2009 ◽

Author(s):

Yu Chen ◽

Qizhong Lin ◽

Huadong Guo ◽

Yongmin Wei ◽

Qinjun Wang

Keyword(s):

Remote Sensing ◽

Porphyry Copper ◽

Remote Sensing Data ◽

Copper Deposit ◽

Porphyry Copper Deposit ◽

Sensing Data ◽

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