Feasibility of the use of Landsat imagery to map soybean crop areas in Parana, Brazil

被引:10
|
作者
Sugawara, Luciana Miura [1 ]
Theodor Rudorff, Bernardo Friedrich [1 ]
Adami, Marcos [1 ]
机构
[1] Inst Nacl Pesquisas Espaciais, BR-12245970 Sao Jose Dos Campos, SP, Brazil
关键词
Glycine max; cloud cover; temporal resolution; optical remote sensing;
D O I
10.1590/S0100-204X2008001200019
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
The aim of this work was to evaluate the feasibility of the use of Landsat imagery to map soybean crop areas in Parana. Brazil, during crop years from 2000/2001 to 2006/2007. The analysis of the quick look images from the TM and ETM+ sensors was performed to Select useful images to map soybean crop. The quick looks were classified according to the presence or absence of clouds and technical problems. It was verified that for none of the seven crop years it Would have been possible to map soybean crop for the entire Parana state. even for the three crop years during which both satellites Landsat 5 and 7 were operating simultaneously. The presence of clouds, detected through the optical sensors, Should be considered for systematic mapping of summer crops in Brazil.
引用
收藏
页码:1777 / 1783
页数:7
相关论文
共 32 条
  • [21] Investigating the Use of High Resolution Multi-spectral Satellite Imagery for Crop Mapping in Nigeria Crop and Landuse Classification using WorldView-3 High Resolution Multispectral Imagery and LANDSAT8 Data
    Alabi, Tunrayo
    Haertel, Michael
    Chiejile, Sarah
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON GEOGRAPHICAL INFORMATION SYSTEMS THEORY, APPLICATIONS AND MANAGEMENT (GISTAM), 2016, : 109 - 120
  • [22] Influence of traffic accessibility on land use based on Landsat imagery and internet map: A case study of the Pearl River Delta urban agglomeration
    Liu, Yongwei
    Cao, Xiaoshu
    Xu, Jianbin
    Li, Tao
    PLOS ONE, 2019, 14 (12):
  • [23] Procedure to use a crop model to identify water-stressed areas in soybean fields using on-farm data
    Paz, JO
    Batchelor, WD
    Bullock, DG
    APPLIED ENGINEERING IN AGRICULTURE, 2002, 18 (05) : 643 - 646
  • [24] Application of different methodologies with the use of OLI and TIRS LANDSAT 8 images for classification of land cover in areas of the Pampa - Brazil biome
    Trindade, Patricia Michele Pereira
    Peixoto, Daniela Wancura Barbieri
    Kuplich, Tatiana Mora
    REVISTA GEOARAGUAIA, 2024, 14 (01): : 20 - 21
  • [25] THE USE OF LANDSAT FOR COUNTY ESTIMATES OF CROP AREAS - EVALUATION OF THE HUDDLESTON-RAY AND THE BATTESE-FULLER ESTIMATORS FOR THE CASE OF STRATIFIED SAMPLING
    WALKER, G
    SIGMAN, R
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 1984, 13 (23) : 2975 - 2996
  • [26] Development of a Bi-National Great Lakes Coastal Wetland and Land Use Map Using Three-Season PALSAR and Landsat Imagery
    Bourgeau-Chavez, Laura
    Endres, Sarah
    Battaglia, Michael
    Miller, Mary Ellen
    Banda, Elizabeth
    Laubach, Zachary
    Higman, Phyllis
    Chow-Fraser, Pat
    Marcaccio, James
    REMOTE SENSING, 2015, 7 (07) : 8655 - 8682
  • [27] The Responsible Use of Minimally Invasive Surgery in Remote Areas of Brazil: Feasibility and Safety of a Temporary Gynecologic Operative Expedition
    Favero, Giovanni
    Carvalho, Luiz Fernando
    Barbosa, Thaisa Silveira
    Valente, Cristina
    Macerox, Nathalia
    Barbosa, Priscila
    Pfiffer, Tatiana
    Kho, Rosanne
    Baracat, Edmund Chada
    Abrao, Mauricio Simoes
    JOURNAL OF GYNECOLOGIC SURGERY, 2015, 31 (05) : 255 - 259
  • [28] Assessing multi-decadal land-cover - land-use change in two wildlife protected areas in Tanzania using Landsat imagery
    Mtui, Devolent T.
    Lepczyk, Christopher A.
    Chen, Qi
    Miura, Tomoaki
    Cox, Linda J.
    PLOS ONE, 2017, 12 (09):
  • [29] LAND USE ANALYSIS ON LAND SURFACE TEMPERATURE IN URBAN AREAS USING A GEOGRAPHICALLY WEIGHTED REGRESSION AND LANDSAT 8 IMAGERY, A CASE STUDY: TEHRAN, IRAN
    Karimi, Amer
    Pahlavani, Parham
    Bigdeli, Behnaz
    ISPRS INTERNATIONAL JOINT CONFERENCES OF THE 2ND GEOSPATIAL INFORMATION RESEARCH (GI RESEARCH 2017); THE 4TH SENSORS AND MODELS IN PHOTOGRAMMETRY AND REMOTE SENSING (SMPR 2017); THE 6TH EARTH OBSERVATION OF ENVIRONMENTAL CHANGES (EOEC 2017), 2017, 42-4 (W4): : 117 - 122
  • [30] USE OF ALPHA AND BETA DIVERSITY AS A BASE TO SELECT PRIORITY AREAS FOR CONSERVATION: AN ANALYSIS OF THE DRY FORESTS ON LIMESTONE OUTCROPS IN PARANA VALLEY, GOIAS STATE, BRAZIL
    Carvalho, Fabricio Alvim
    Felfili, Jeanine Maria
    BIOSCIENCE JOURNAL, 2011, 27 (05): : 830 - 838