Mapping of sugarcane crop area in the Paraná State using Landsat/TM/OLI and IRS/LISS-3 images

Author:

Cechim Junior Clóvis1,Johann Jerry A.1,Antunes João F. G.2

Affiliation:

1. Universidade Estadual do Oeste do Paraná, Brazil

2. Empresa Brasileira de Pesquisa Agropecuária, Brazil

Abstract

ABSTRACT The knowledge on reliable estimates of areas under sugarcane cultivation is essential for the Brazilian agribusiness, since it helps in the development of public policies, in determining prices by sugar mills to producers and allows establishing the logistics of production disposal. The objective of this work was to develop a methodology for mapping the sugarcane crop area in the state of Paraná, Brazil, using images from the Landsat/TM/OLI and IRS/LISS-3 satellites, for the crop years from 2010/2011 to 2013/2014. The mappings were conducted through the supervised Maximum likelihood classification (Maxver) achieving, on average, an overall accuracy of 94.13% and kappa index of 0.82. The correlation with the official data of the IBGE ranged from moderate to strong (0.64 ≤ rs ≤ 0.80) with average agreement (dr) of 0.81. There was an increase of 2.73% (18,630 ha) in the area with sugarcane in Paraná between 2010/2011 and 2013/2014.

Publisher

FapUNIFESP (SciELO)

Subject

Agronomy and Crop Science,Environmental Engineering

Reference29 articles.

1. A Web platform development to perform thematic accuracy assessment of sugarcane mapping in South-Central Brazil;Adami M.;Remote Sensing,2012

2. Amostragem probabilística estratificada por pontos para estimar a área cultivada com soja;Adami M.;Pesquisa Agropecuária Brasileira,2010

3. Remote sensing images in support of environmental protocol: Monitoring the sugarcane harvest in São Paulo State, Brazil;Aguiar D. A.;Remote Sensing,2011

4. Mapping land use land cover changes in a region of sugarcane expansion using TM and MODIS;Alves C. D.;Revista Brasileira de Cartografia,2014

5. Classification of MODIS EVI time series for crop mapping in the State of Mato Grosso, Brazil;Arvor D.;International Journal of Remote Sensing,2011

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3