High-resolution remote sensing data can predict household poverty in pastoral areas, Inner Mongolia, China

Geography and Sustainability ◽

10.1016/j.geosus.2021.10.002 ◽

2021 ◽

Author(s):

Peng Han ◽

Qing Zhang ◽

Yanyun Zhao ◽

Frank Yonghong Li

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Inner Mongolia ◽

Remote Sensing Data ◽

Sensing Data ◽

Household Poverty

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Assessment of the national market demand for high-resolution remote sensing data

Kosmìčna nauka ì tehnologìâ ◽

10.15407/knit2002.01.015 ◽

2002 ◽

Vol 8 (1) ◽

pp. 15-22

Author(s):

V.N. Astapenko ◽

◽

Ye.I. Bushuev ◽

V.P. Zubko ◽

V.I. Ivanov ◽

...

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Remote Sensing Data ◽

Market Demand ◽

Sensing Data ◽

National Market

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Estimation and mapping of surface soil properties in the Caucasus Mountains, Azerbaijan using high-resolution remote sensing data

Geoderma Regional ◽

10.1016/j.geodrs.2021.e00411 ◽

2021 ◽

pp. e00411

Author(s):

Elton Mammadov ◽

Jakub Nowosad ◽

Cornelia Glaesser

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Soil Properties ◽

Surface Soil ◽

Remote Sensing Data ◽

The Caucasus ◽

Sensing Data ◽

Caucasus Mountains ◽

Surface Soil Properties

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Structural pattern of Holenarsipur Supracrustal Belt, Karnataka, India as observed from digitally enhanced high-resolution multi-sensor optical remote sensing data aided by field survey

International Journal of Applied Earth Observation and Geoinformation ◽

10.1016/s0303-2434(03)00002-3 ◽

2003 ◽

Vol 4 (3) ◽

pp. 195-215 ◽

Author(s):

R.S Chatterjee

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Field Survey ◽

Remote Sensing Data ◽

Optical Remote Sensing ◽

Structural Pattern ◽

Sensing Data ◽

Supracrustal Belt ◽

Digitally Enhanced

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Modelling species distributions with high resolution remote sensing data to delineate patterns of plant diversity in the Sahel zone of Burkina Faso

International Society for Photogrammetry and Remote Sensing (ISPRS) Book Series - Recent Advances in Remote Sensing and Geoinformation Processing for Land Degradation Assessment ◽

10.1201/9780203875445.ch13 ◽

2009 ◽

pp. 199-209

Author(s):

J Müller ◽

M Schmidt ◽

K König

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Burkina Faso ◽

Plant Diversity ◽

Remote Sensing Data ◽

Species Distributions ◽

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Validation of High-Density Airborne LiDAR-Based Feature Extraction Using Very High Resolution Optical Remote Sensing Data

Advances in Remote Sensing ◽

10.4236/ars.2013.24033 ◽

2013 ◽

Vol 02 (04) ◽

pp. 297-311 ◽

Author(s):

Shridhar D. Jawak ◽

Satej N. Panditrao ◽

Alvarinho J. Luis

Keyword(s):

Remote Sensing ◽

Feature Extraction ◽

High Resolution ◽

Remote Sensing Data ◽

High Density ◽

Airborne Lidar ◽

Optical Remote Sensing ◽

Sensing Data ◽

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Study on hazard factor assessment caused by snow disaster in pastoral areas of Inner Mongolia grassland based on Multi-source Remote Sensing Data

Proceedings of the 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention ◽

10.2991/rac-16.2016.12 ◽

2016 ◽

Author(s):

Chula Sa ◽

Guixiang Liu ◽

Mulan Wang ◽

Yuhai Bao

Keyword(s):

Remote Sensing ◽

Inner Mongolia ◽

Remote Sensing Data ◽

Sensing Data ◽

Inner Mongolia Grassland ◽

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Iterative Spectral Index Ratio Exploration for Object-based Image Analysis of Antarctic Coastal Oasis Using High Resolution Satellite Remote Sensing Data

Aquatic Procedia ◽

10.1016/j.aqpro.2015.02.022 ◽

2015 ◽

Vol 4 ◽

pp. 157-164 ◽

Author(s):

S.D. Jawak ◽

D.A. Raut ◽

A.J. Luis

Keyword(s):

Remote Sensing ◽

Image Analysis ◽

High Resolution ◽

Spectral Index ◽

Satellite Remote Sensing ◽

Remote Sensing Data ◽

Sensing Data ◽

Object Based Image Analysis ◽

Object Based ◽

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High-Resolution Mapping of Soil Properties Using AVIRIS-NG Hyperspectral Remote Sensing Data—A Case Study Over Lateritic Soils in Mangalore, India

Lecture Notes in Civil Engineering - Trends in Civil Engineering and Challenges for Sustainability ◽

10.1007/978-981-15-6828-2_54 ◽

2020 ◽

pp. 735-751

Author(s):

Mandar Mohan Chitale ◽

Subrahmanya Kundapura

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Soil Properties ◽

Remote Sensing Data ◽

Hyperspectral Remote Sensing ◽

Lateritic Soils ◽

Sensing Data ◽

High Resolution Mapping ◽

Resolution Mapping

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Temperature Spatiotemporal Correlation Scales in the Brazil‐Malvinas Confluence from High‐Resolution In Situ and Remote Sensing Data

Geophysical Research Letters ◽

10.1029/2019gl084246 ◽

2019 ◽

Vol 46 (22) ◽

pp. 13234-13243 ◽

Author(s):

Dorleta Orúe‐Echevarría ◽

Paola Castellanos ◽

Joel Sans ◽

Mikhail Emelianov ◽

Ignasi Vallès‐Casanova ◽

...

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Remote Sensing Data ◽

Sensing Data ◽

Spatiotemporal Correlation

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High-resolution remote sensing data to monitor active volcanic areas: an application to the 2011-2015 eruptive activity of Mount Etna (Italy) (Conference Presentation)

SAR Image Analysis, Modeling, and Techniques XVI ◽

10.1117/12.2245084 ◽

2016 ◽

Author(s):

Maria Marsella

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Remote Sensing Data ◽

Eruptive Activity ◽

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