Soil consumption estimates by coverage and remote sensing data

被引：0
作者：
Munafo, Michele [1 ]
Lupia, Flavio [2 ]
Marinosci, Ines [1 ]
机构：
[1] ISPRA, Via Vitaliano Brancati 48, I-00144 Rome, Italy
[2] INEA, I-00161 Rome, Italy
来源：
GEOMEDIA | 2012年 / 16卷 / 06期
关键词：
D O I：
暂无
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
Agricultural and natural areas conversion into urban areas is a progressive and irreversible process that has various negative impacts on the environmental, economic and social sphere. Nowadays, the process named "land take"is becoming relevant and it is receiving finally adequate consideration from decision makers and therefore it is starting to be deeply analyzed. The availability of multi-temporal land use/cover and satellite imaging enables the spatiotemporal evaluation and measurement of the phenomenon with different degrees of resolution.
引用
收藏
页码：38 / 40
页数：3
相关论文
共 50 条
  • [41] Improving runoff estimates using remote sensing vegetation data for bushfire impacted catchments
    Zhou, Yanchun
    Zhang, Yongqiang
    Vaze, Jai
    Lane, Patrick
    Xu, Shiguo
    AGRICULTURAL AND FOREST METEOROLOGY, 2013, 182 : 332 - 341
  • [42] Retrieval of PAR-estimates using remote sensing data and radiation transfer models
    Fistric, S
    Gesell, G
    Günther, KP
    REMOTE SENSING OF CLOUDS AND THE ATMOSPHERE VII, 2003, 4882 : 13 - 20
  • [43] A comprehensive review of soil organic carbon estimates: Integrating remote sensing and machine learning technologies
    Li, Tong
    Cui, Lizhen
    Kuhnert, Matthias
    Mclaren, Timothy I.
    Pandey, Rajiv
    Liu, Hongdou
    Wang, Weijin
    Xu, Zhihong
    Xia, Anquan
    Dalal, Ram C.
    Dang, Yash P.
    JOURNAL OF SOILS AND SEDIMENTS, 2024, : 3556 - 3571
  • [44] Rainfall and soil wetness response to ENSO and soil wetness estimation from remote sensing data
    Sarma, A. A. L. N.
    Kumar, T. V. Lakshmi
    JOURNAL OF INDIAN GEOPHYSICAL UNION, 2007, 11 (02): : 91 - 100
  • [45] Imitate geometric manifold coverage method for one-class classification of remote sensing data
    Yiliang Zeng
    Jinhui Lan
    Arabian Journal of Geosciences, 2015, 8 : 631 - 638
  • [46] Flower Species Identification and Coverage Estimation Based on Hyperspectral Remote Sensing Data in Hulunbeier Grassland
    Gai Ying-ying
    Fan Wen-jie
    Xu Xi-ru
    Yan Bin-yan
    Wang Huan-jiong
    Liu Yuan
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31 (10) : 2778 - 2783
  • [47] China land soil moisture EnKF data assimilation based on satellite remote sensing data
    Shi ChunXiang
    Xie ZhengHui
    Qian Hui
    Liang MiaoLing
    Yang XiaoChun
    SCIENCE CHINA-EARTH SCIENCES, 2011, 54 (09) : 1430 - 1440
  • [48] China land soil moisture EnKF data assimilation based on satellite remote sensing data
    ChunXiang Shi
    ZhengHui Xie
    Hui Qian
    MiaoLing Liang
    XiaoChun Yang
    Science China Earth Sciences, 2011, 54 : 1430 - 1440
  • [49] Machine Learning to Estimate Surface Soil Moisture from Remote Sensing Data
    Adab, Hamed
    Morbidelli, Renato
    Saltalippi, Carla
    Moradian, Mahmoud
    Ghalhari, Gholam Abbas Fallah
    WATER, 2020, 12 (11) : 1 - 28
  • [50] Assimilating remote sensing data in a surface flux-soil moisture model
    Crosson, WL
    Laymon, CA
    Inguva, R
    Schamschula, MP
    HYDROLOGICAL PROCESSES, 2002, 16 (08) : 1645 - 1662
12345