Open Access Open Access  Restricted Access Subscription or Fee Access

A Review on Exploring SAR Data for Crop Area Assessment

ROHAN BHAGAT

Abstract


Collecting recognizable proof is a fundamental and evaluative starting move towards for all intents and purposes in country watching structures. The evaluation of cultivating zone distributed under yield is possible due to the ability to recognize the type of crops. It further helps in giving fundamental information to alter control of area-based sponsorships by registering appropriate bits of knowledge. Recent studies have explored the limits of Synthetic-aperture radar (SAR) for separating harvest type. The guideline point is to brief the instrument of gather genuine area estimation and locale checking using SAR data, Envisat-ASAR, or polarimetric SAR with multi-transient and multi stimulated datasets and review the assessment progress on crop estimation and area watching using microwave remote sensing.


Keywords


crop estimation; area estimation; SAR; remote sensing.

Full Text:

PDF

References


Kun Li, Yun Shao, Fengli Zhang. Paddy Rice identification using polarimetric SAR data in Southern China. IEEE, 2010.

Ding Yaping, Chen Zhongxin. A review of crop identification and area monitoring based on SAR image. China, 2012 IEEE.

Qiong An, Wanlin Gao, Lina Yu, Jianjia Wu, Bangjie Yang, Wei Liu. Research on Crop Identification Method Based on

Two-Phase Classification Using Remote Sensing in Large Scale. China, 2011 IEEE.

Bai Lina, Wang Bengyu, Tian Xin, Lu Ying, Yang Yongtian. Winter Wheat Identification Using Multi-Temporal Envisat Asar Data: A Case Study At Tongzhou District, Beijing. IGARSS, 2012.

Kadim Tasdemir, Selcuk Reis. Land Cover Identification for Finding Hazelnut Fields Using Worldview-2 Imagery. IEEE 2011.

Qiong An, Wanlin Gao, Bangjie Yang, Jianjia Wu, Lina Yu, Zili Liu. Research on Feature Selection Method Oriented to Crop Identification Using Remote Sensing Image Classification. Sixth International Conference on Fuzzy Systems and Knowledge. Discovery, IEEE, 2009.


Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 Research & Reviews: Journal of Ecology

eISSN: 2278–2230