Using ALOS/PALSAR and RADARSAT-2 to Map Land Cover and Seasonal Inundation in the Brazilian Pantanal

被引:96
|
作者
Evans, Teresa L. [1 ]
Costa, Maycira [1 ]
Telmer, Kevin [2 ]
Silva, Thiago S. F. [3 ]
机构
[1] Univ Victoria, Dept Geog, Victoria, BC V8P 5C2, Canada
[2] Univ Victoria, Sch Earth & Ocean Sci, Victoria, BC V8P 5C2, Canada
[3] Brazilian Inst Space Sci INPE, Sao Jose Dos Campos, SP, Brazil
基金
加拿大自然科学与工程研究理事会;
关键词
ALOS/PALSAR; flooding dynamics; habitat mapping; K&C initiative; Pantanal; RADARSAT-2; AMAZON FLOODPLAIN; NHECOLANDIA SUBREGION; VEGETATION; CLASSIFICATION; WETLAND; CONSERVATION; BIODIVERSITY; IMAGERY; LAKES; SEGMENTATION;
D O I
10.1109/JSTARS.2010.2089042
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The Brazilian Pantanal is a large continuous tropical wetland with large biodiversity and many threatened habitats. The interplay between the distribution of vegetation, the hydrology, the climate and the geomorphology nourishes and sustains the large diversity of flora and fauna in this wetland, but it is poorly understood at the scale of the entire Pantanal. This study uses multi-temporal L-band ALOS/PALSAR and C-band RADARSAT-2 data to map ecosystems and create spatial-temporal maps of flood dynamics in the Brazilian Pantanal. First, an understanding of the backscattering characteristics of floodable and non-floodable habitats was developed. Second, a Level 1 object-based image analysis (OBIA) classification defining Forest, Savanna, Grasslands/Agriculture, Aquatic Vegetation and Open Water cover types was achieved with accuracy results of 81%. A Level 2 classification separating Flooded from Non-Flooded regions for five temporal periods over one year was also accomplished, showing the interannual variability among sub-regions in the Pantanal. Cross-sensor, multi-temporal SAR data was found to be useful in mapping both land cover and flood patterns in wetland areas. The generated maps will be a valuable asset for defining habitats required to conserve the Pantanal biodiversity and to mitigate the impacts of human development in the region.
引用
收藏
页码:560 / 575
页数:16
相关论文
共 50 条
  • [1] Landcover classification of the Lower Nhecolandia subregion of the Brazilian Pantanal Wetlands using ALOS/PALSAR, RADARSAT-2 and ENVISAT/ASAR imagery
    Evans, Teresa L.
    Costa, Maycira
    [J]. REMOTE SENSING OF ENVIRONMENT, 2013, 128 : 118 - 137
  • [2] POLARIMETRIC OBSERVATION FOR RICE FIELD BY RADARSAT-2 AND ALOS/PALSAR
    Yonezawa, Chinatsu
    Imai, Takahiro
    Kunii, Daisuke
    Watanabe, Manabu
    Saito, Genya
    [J]. 2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 2282 - 2285
  • [3] A comparative analysis of ALOS PALSAR L-band and RADARSAT-2 C-band data for land-cover classification in a tropical moist region
    Li, Guiying
    Lu, Dengsheng
    Moran, Emilio
    Dutra, Luciano
    Batistella, Mateus
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2012, 70 : 26 - 38
  • [4] USE OF RADARSAT-2 AND ALOS-PALSAR SAR IMAGES FOR WETLAND MAPPING IN NEW BRUNSWICK
    LaRocque, Armand
    Leblon, Brigitte
    Woodward, Renata
    Mordini, Michael
    Bourgeau-Chavez, Laura
    Landon, Antony
    French, Nancy
    McCarty, Jessica
    Huntington, Tom
    Camill, Phil
    [J]. 2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 1226 - 1229
  • [5] Machine learning based urban land cover classification using PolInSAR data: a study with ALOS-2 and RADARSAT-2 datasets
    Luvkesh Attri
    Shashi Kumar
    Sandeep Maithani
    [J]. Discover Geoscience, 2 (1):
  • [6] LAND USE AND LAND COVER CLASSIFICATION USING RADARSAT-2 POLARIMETRIC SAR IMAGE
    Qi, Z.
    Yeh, A. G.
    Li, X.
    Lin, Z.
    [J]. 100 YEARS ISPRS ADVANCING REMOTE SENSING SCIENCE, PT 1, 2010, 38 : 198 - 203
  • [7] ITERATIVE MULTISTAGE POLARIMETRIC SCATTERING DECOMPOSITION OF RADARSAT-2 AND ALOS-2 PALSAR-2 DATA
    Lee, Ken Yoong
    Ang, Yong Peng
    Shi, Chenghua
    Wiratama, Wahyu
    Lim, Kim Hwa
    Liew, Soo Chin
    [J]. IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 8022 - 8025
  • [8] Soil Moisture Retrieval of Vegetated Land Cover Using RADARSAT-2 Data
    Kumar, Vinay
    Ahmed, Tasneem
    Singh, Dharmendra
    [J]. 2015 NATIONAL CONFERENCE ON RECENT ADVANCES IN ELECTRONICS & COMPUTER ENGINEERING (RAECE), 2015, : 276 - 281
  • [9] Land Cover Classification of RADARSAT-2 SAR Data Using Convolutional Neural Network
    LIN Wei
    LIAO Xiangyong
    DENG Juan
    LIU Yao
    [J]. Wuhan University Journal of Natural Sciences, 2016, 21 (02) : 151 - 158
  • [10] Land Cover Classification in SubArctic Regions Using Fully Polarimetric RADARSAT-2 Data
    Duguay, Yannick
    Bernier, Monique
    Levesque, Esther
    Domine, Florent
    [J]. REMOTE SENSING, 2016, 8 (09)