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COMBINING TIME SERIES FEATURES AND DATA MINING TO DETECT LAND COVER PATTERNS: A CASE STUDY IN NORTHERN MATO GROSSO STATE, BRAZIL

التفاصيل البيبلوغرافية
العنوان: COMBINING TIME SERIES FEATURES AND DATA MINING TO DETECT LAND COVER PATTERNS: A CASE STUDY IN NORTHERN MATO GROSSO STATE, BRAZIL
المؤلفون: Alana Kasahara Neves, Hugo do Nascimento Bendini, Thales Sehn Korting, Leila Maria Garcia Fonseca
المصدر: Revista Brasileira de Cartografia, Vol 68, Iss 6 (2018)
بيانات النشر: Universidade Federal de Uberlândia, 2018.
سنة النشر: 2018
المجموعة: LCC:Geography. Anthropology. Recreation
LCC:Cartography
مصطلحات موضوعية: Geography. Anthropology. Recreation, Cartography, GA101-1776
الوصف: One product of the MODIS sensor (Moderate Resolution Imaging Spectroradiometer) is the EVI2 (Two Band Enhanced Vegetation Index). It generates images of around 23 observations each year, that combined can be interpreted as time series. This work presents the results of using two types of features obtained from EVI2 time series: basic and polar features. Such features were employed in automatic classiï¬ cation for land cover mapping, and we compared the infl uence of using single pixel versus object-based observations. The features were used to generate classiï¬ cation models using the Random Forest algorithm. Classes of interest included Agricultural Area, Pasture and Forest. Results achieved accuracies up to 91,70% for the northern region of Mato Grosso state, Brazil.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
Portuguese
تدمد: 0560-4613
1808-0936
Relation: http://www.seer.ufu.br/index.php/revistabrasileiracartografia/article/view/44488; https://doaj.org/toc/0560-4613; https://doaj.org/toc/1808-0936
URL الوصول: https://doaj.org/article/32e83ec3d9d343f9b8ff22e2eb813e56
رقم الأكسشن: edsdoj.32e83ec3d9d343f9b8ff22e2eb813e56
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:05604613
18080936