Mapping of soil moisture variability within a field by the OPTRAM model

被引：0
|
作者：
Verone, M. Wojtaszek [1 ]
Szabo, V [1 ]
Kauser, J. [2 ]
Kocsis, A. [3 ]
Lippmann, L. [4 ]
机构：
[1] Obuda Univ, Alba Regia Tech Fac, Szekesfehervar, Hungary
[2] Szechenyi Istvan Univ, Wittmann Antal Plant Anim & Food Sci Multidiscipl, Mosonmagyarovar, Hungary
[3] Natl Land Ctr, Budapest, Hungary
[4] Prime Ministerss Off, Budapest, Hungary
来源：
PRECISION AGRICULTURE'21 | 2021年
关键词：
Sentinel; 2; OPTRAM; soil moisture; water stress detection; WATER-STRESS INDEX; IMAGERY;
D O I：
10.3920/978-90-8686-916-9_55
中图分类号：
S2 [农业工程];
学科分类号：
0828 ;
摘要：
The aim of the work was to investigate the applicability of the optical trapezoid model (OPTRAM) in mapping the moisture content within an agricultural field. The study area was situated in Hungary and consisted of 2 fields with total area of 224 ha. The OPTRAM-based surface soil moisture estimates were compared with soil moisture ground truth data. The estimated moisture values (W) were significantly correlated with the in situ measurements values (R-2 =0.74). The model was also used to detect the soil moisture content change after large rainfalls. According to the results of the study, the variability of soil moisture within a field can be clearly detected and its changes over time can be mapped by using OPTRAM model.
引用
收藏
页码：459 / 466
页数：8
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