Lateritic soil mapping of the Phrae basin, northern Thailand using satellite data

被引:0
|
作者
Soe, Myint [1 ]
Won-In, Krit [2 ]
Takashima, Isao [3 ]
Charusiri, Punya [4 ]
机构
[1] Akita Univ, Grad Sch Engn & Resource Sci, Akita 0108502, Japan
[2] Kasetsart Univ, Dept Earth Sci, Fac Sci, Bangkok 10900, Thailand
[3] Akita Univ, Ctr Geoenvironm Sci, Akita 0108502, Japan
[4] Chulalongkorn Univ, Dept Geol, Fac Sci, Bangkok 10330, Thailand
来源
SCIENCEASIA | 2008年 / 34卷 / 03期
关键词
lateritic soil mapping; remote sensing; band ratio; principal component analysis; thresholding; normalized difference vegetation index;
D O I
10.2306/scienceasia1513-1874.2008.34.307
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Landsat 7 Enhanced Thematic Mapper Plus image data was used to identify and map lateritic soil zones in the Phrae basin which is one of the largest intermountain basins in northern Thailand. The lateritic soil zones were discriminated using band ratio and principal component analysis. The lateritic soil detection images were processed by band ratio (band 3 / band 1), principal component analysis of bands 1 and 3, and principal component analysis of bands 1, 3, 4, and 5. The results of these three indices were superimposed using GIS to define a preliminary lateritic soil image of the study area. A threshold method was used for converting a grey scale image into a binary image. Different threshold values were used to find the most probable areas of lateritic soil zones in the image. The threshold values were determined from a published geological map and known lateritic soil areas with good exposure in the image. The quality of the results was evaluated by the normalized difference vegetation index. Field investigation was carried out to substantiate the remote sensing investigation and the laboratory GIS analysis. This method can also be applied to other lateritic soil and iron oxide regions.
引用
收藏
页码:307 / 316
页数:10
相关论文
共 50 条
  • [41] Soil waterlogging mapping using LANDSAT TM data
    Cebecauer, T
    GEOGRAPHICAL INFORMATION '97: FROM RESEARCH TO APPLICATION THROUGH COOPERATION, VOLS 1 AND 2, 1997, : 537 - 544
  • [42] SOIL SALINITY MAPPING USING MULTITEMPORAL LANDSAT DATA
    Azabdaftari, A.
    Sunar, F.
    XXIII ISPRS CONGRESS, COMMISSION VII, 2016, 41 (B7): : 3 - 9
  • [43] Assessment of SoilGrids data for soil erosion estimation at watershed scale: A case study in northern Thailand
    Madueke, Chike Onyeka
    Shrestha, Dhruba Pikha
    Nyktas, Panagiotis
    PEDOSPHERE, 2024, 34 (04) : 797 - 813
  • [44] Assessment of SoilGrids data for soil erosion estimation at watershed scale:A case study in northern Thailand
    Chike Onyeka MADUEKE
    Dhruba Pikha SHRESTHA
    Panagiotis NYKTAS
    Pedosphere, 2024, 34 (04) : 797 - 813
  • [45] Flood susceptibility mapping in the Yom River Basin, Thailand: stacking ensemble learning using multi-year flood inventory data
    Long, Gen
    Tantanee, Sarintip
    Nusit, Korakod
    Sooraksa, Pitikhate
    GEOCARTO INTERNATIONAL, 2025, 40 (01)
  • [46] MAPPING BIOMASS OF A NORTHERN FOREST USING MULTIFREQUENCY SAR DATA
    RANSON, KJ
    SUN, GQ
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1994, 32 (02): : 388 - 396
  • [47] Simulation of runoff for the Black Volta Basin using satellite observation data
    Shaibu, Salamatu
    Odai, Samuel Nii
    Adjei, Kwaku Amaning
    Jnr, Edward Matthew Osei
    Annor, Frank Ohene
    INTERNATIONAL JOURNAL OF RIVER BASIN MANAGEMENT, 2012, 10 (03) : 245 - 254
  • [48] Diagnosing water variations within the Amazon basin using satellite data
    Azarderakhsh, Marzieh
    Rossow, William B.
    Papa, Fabrice
    Norouzi, Hamidreza
    Khanbilvardi, Reza
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2011, 116
  • [49] A WATERSHED MODEL USING SATELLITE DATA APPLIED TO A MOUNTAIN BASIN IN CANADA
    KITE, GW
    JOURNAL OF HYDROLOGY, 1991, 128 (1-4) : 157 - 169
  • [50] Digital mapping of soil chemical properties with limited data in the Thung Kula Ronghai region, Thailand
    Srisomkiew, Sasirin
    Kawahigashi, Masayuki
    Limtong, Pitayakon
    GEODERMA, 2021, 389