Integrating climate into the Digital Soil Assessment framework to assess land suitability

被引:0
|
作者
Webb, M. A. [1 ]
Kidd, D. B. [1 ]
Grose, C. J. [1 ]
Moreton, R. M. [1 ]
Malone, B. P. [2 ]
McBratney, A. B. [2 ]
Minasny, B. [2 ]
机构
[1] Dept Primary Ind Pk Water & Environm, Prospect, Tas, Australia
[2] Univ Sydney, Fac Agr & Environm, Sydney, NSW, Australia
来源
GLOBALSOILMAP: BASIS OF THE GLOBAL SPATIAL SOIL INFORMATION SYSTEM | 2014年
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
Assessment of climatic temperature variability as part of a Digital Soil Assessment (DSA) is important to quantify and can determine areas where certain plants or crops are able to successfully propagate. This paper investigates how specific climatic variables including frost risk, chilling hours and Growing Degree Day (GDD) potential can be quantified, using Digital Soil Mapping (DSM) methods, and assimilated into a DSA framework to assess overall land suitability. The climate assessment involved deploying 271 temperature loggers and 7 weather stations which were programmed to record temperature for twelve months. The loggers were correlated to long term climate stations. Multivariate interpolation techniques such as regression kriging, regression trees and random forests were used to quantify climatic temperature variables (between logger/weather station sites). The surfaces were then integrated with digital soil attribute surfaces through a suitability model to produce Enterprise Suitability Surfaces for 20 different enterprise crops.
引用
收藏
页码:393 / 399
页数:7
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