Soil salinization
is one of the severe land-degradation problems due to its adverse effects on
land productivity. Each year several hectares of lands are degraded due to
primary or secondary soil salinization, and as a result, it is becoming a major
economic and environmental concern in different countries. Spatio-temporal mapping of soil salinity is
therefore important to support decision-making procedures for lessening adverse
effects of land degradation due to the salinization. In that sense, satellite-based
technologies provide cost effective, fast, qualitative and quantitative spatial
information on saline soils.
The main
objective of this work is to highlight the recent remote sensing (RS) data and
methods to assess soil salinity that is a worldwide problem. In addition, this
study indicates potential linkages between salt-affected land and the
prevailing climatic conditions of the case study areas being examined. Web of Science
engine is used for selecting relevant articles. "Soil salinity" is
used as the main keyword for finding "articles" that are published
from January 1, 2007 up to April 30, 2018. Then, 3 keywords; "remote
sensing", "satellite" and "aerial" were used to filter
the articles. After that, 100 case studies from 27 different countries were
selected. Remote sensing based researches were further overviewed regarding to
their location, spatial extent, climate regime, remotely sensed data type,
mapping methods, sensing approaches together with the reason of salinity for
each case study. In addition, soil salinity mapping methods were examined to
present the development of different RS based methods with time. Studies are
shown on the Köppen-Geiger climate classification map. Analysis of the map
illustrates that 63% of the selected case study areas belong to arid and
semi-arid regions. This finding corresponds to soil characteristics of arid
regions that are more susceptible to salinization due to extreme temperature,
high evaporation rates and low precipitation.
Soil Salinity Remote Sensing Mapping Methods Sensing Approaches
Birincil Dil | İngilizce |
---|---|
Bölüm | Research Articles |
Yazarlar | |
Yayımlanma Tarihi | 12 Nisan 2019 |
Yayımlandığı Sayı | Yıl 2019 Cilt: 6 Sayı: 1 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.