Sugarcane Planting Area Classification, Extraction and Accuracy Comparison Based on Chinese High-Resolution Remote Sensing Satellite Data: A Case Study of Ningming Sugarcane Demonstration Area, Chongzuo City, Guangxi

Area Classification

A novel technique to resample high resolution remote sensing satellite data

IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2002.1027203 ◽

2003 ◽

Author(s):

M. Ramanjaneyulu ◽

K.M.M. Rao

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Satellite Data ◽

Novel Technique ◽

The determinations of remote sensing satellite data delivery service quality: A positivistic case study in Chinese context

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/17/1/012266 ◽

2014 ◽

Vol 17 ◽

pp. 012266

Author(s):

Jiahua Jin ◽

Xiangbin Yan ◽

Qiaoqiao Tan ◽

Yijun Li

Keyword(s):

Remote Sensing ◽

Service Quality ◽

Satellite Data ◽

Data Delivery ◽

Chinese Context ◽

Delivery Service ◽

Positivistic Case Study

Updated Glacial Lake Inventory of Indus River Basin based on High-Resolution Indian Remote Sensing Satellite Data

Journal of the Indian Society of Remote Sensing ◽

10.1007/s12524-021-01452-0 ◽

2021 ◽

Author(s):

Ankit Gupta ◽

Ruhi Maheshwari ◽

Sweta ◽

Nibedita Guru ◽

B. Simhadri Rao ◽

...

Keyword(s):

Remote Sensing ◽

High Resolution ◽

River Basin ◽

Satellite Data ◽

Indian Remote Sensing ◽

Glacial Lake ◽

Indian Remote Sensing Satellite ◽

Indus River ◽

Indus River Basin

Accuracy assessment in cotton acreage estimation using Indian remote sensing satellite data

ISPRS Journal of Photogrammetry and Remote Sensing ◽

10.1016/0924-2716(94)90011-6 ◽

1994 ◽

Vol 49 (6) ◽

pp. 21-26 ◽

Cited By ~ 17

Author(s):

Sujay Dutta ◽

S.A. Sharma ◽

A.P. Khera ◽

Ajai ◽

M. Yadav ◽

...

Keyword(s):

Remote Sensing ◽

Satellite Data ◽

Accuracy Assessment ◽

Indian Remote Sensing ◽

Indian Remote Sensing Satellite ◽

Acreage Estimation ◽

Operational Derivation of Water Quality, Water Depth and Sea Bottom Type from Remote Sensing Satellite Data

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2018.8518590 ◽

2018 ◽

Cited By ~ 1

Author(s):

Elizabeth W. Wong ◽

Joel M.C. Wong ◽

Soo chin Liew

Keyword(s):

Remote Sensing ◽

Water Quality ◽

Water Depth ◽

Satellite Data ◽

Bottom Type ◽

Sea Bottom ◽

Quality Water ◽

Factor analysis on regionalized remote sensing satellite data acquisition of territorial resources survey

Future Communication, Information and Computer Science ◽

10.1201/b18049-3 ◽

2015 ◽

pp. 7-10

Author(s):

J Yang ◽

P Huang ◽

G Ma ◽

L Shi ◽

Y Zhan ◽

...

Keyword(s):

Remote Sensing ◽

Factor Analysis ◽

Data Acquisition ◽

Satellite Data ◽

ISPRS - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences ◽

SUSCEPTIBILITY EVALUATION AND MAPPING OF CHINA'S LANDSLIDE DISASTER BASED ON MULTI-TEMPORAL GROUND AND REMOTE SENSING SATELLITE DATA

10.5194/isprsarchives-xxxix-b8-45-2012 ◽

2012 ◽

Vol XXXIX-B8 ◽

pp. 45-50 ◽

Cited By ~ 1

Author(s):

C. Liu ◽

W. Li ◽

P. Lu ◽

K. Sang ◽

Y. Hong ◽

...

Keyword(s):

Remote Sensing ◽

Satellite Data ◽

Multi Temporal ◽

Susceptibility Evaluation ◽

Landslide Disaster

3D Visualization Management System of Remote Sensing Satellite Data

Procedia Environmental Sciences ◽

10.1016/j.proenv.2011.09.169 ◽

2011 ◽

Vol 10 ◽

pp. 1059-1064 ◽

Cited By ~ 2

Author(s):

Xirong Guo ◽

Peng Huang ◽

Wenyi Zhang

Keyword(s):

Remote Sensing ◽

Satellite Data ◽

Management System ◽

3D Visualization ◽

Monitoring of Urban Impervious Surfaces Using Time Series of High-Resolution Remote Sensing Images in Rapidly Urbanized Areas: A Case Study of Shenzhen

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

10.1109/jstars.2018.2804440 ◽

2018 ◽

Vol 11 (8) ◽

pp. 2692-2708 ◽

Cited By ~ 11

Author(s):

Tao Zhang ◽

Xin Huang

Keyword(s):

Remote Sensing ◽

Time Series ◽

High Resolution ◽

Impervious Surfaces ◽

Remote Sensing Images ◽

Urbanized Areas ◽

Urban Impervious Surfaces

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

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

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