Landsat and Sentinel-2 images as a tool for the effective estimation of winter and spring cultivar growth and yield prediction in the Czech Republic

被引：7

作者：

Jelinek, Zdenek ^{[1
]}

Kumhalova, Jitka ^{[1
]}

Chyba, Jan ^{[2
]}

Wohlmuthova, Marie ^{[3
]}

Madaras, Mikulas ^{[4
]}

Kumhala, Frantisek ^{[4
]}

机构：

[1] Czech Univ Life Sci, Fac Engn, Dept Machinery Utilizat, Kamycka 129, Prague 16521 6, Suchdol, Czech Republic

[2] Czech Univ Life Sci, Fac Engn, Dept Agr Machines, Kamycka 129, Prague 16521 6, Suchdol, Czech Republic

[3] Czech Univ Life Sci, Fac Engn, Dept Math, Kamycka 129, Prague 16521 6, Suchdol, Czech Republic

[4] Crop Res Inst, Div Crop Management Syst, Drnovska 507, Prague 16100 6, Ruzyne, Czech Republic

来源：

INTERNATIONAL AGROPHYSICS | 2020年 / 34卷 / 03期

关键词：

satellite sensors; agriculture; satellite imagery; wheat varieties; OILSEED RAPE; CROP YIELD; WHEAT; INDEXES; CLASSIFICATION; AGRICULTURE; TOPOGRAPHY; IMPACT; MODEL; ZONES;

D O I：

10.31545/intagr/126593

中图分类号：

S3 [农学（农艺学）];

学科分类号：

0901 ;

摘要：

The influence of climate and topography on crop condition and yield estimates is most effectively monitored by non-invasive satellite imagery. This paper evaluates the efficiency of free-access Sentinel 2 and Landsat 5, 7 and 8 satellite images scanned by different sensors on wheat growth and yield prediction. Five winter and spring wheat cultivars were grown between 2005 and 2017 in a relatively small 11.5 ha field with a 6% slope. The normalized difference vegetation index was derived from the satellite images acquired for later growth phases of the wheat crops (Biologische Bundesanstalt, Bundessorenamt and Chemical industry 55 - 70) and then compared with the topography wetness index, crop yields and yield frequency maps. The results showed a better correlation of data obtained over one day (R-2 = 0.876) than data with a one-day delay (R-2 = 0.689) using the Sentinel 2 B8 band instead of the B8A band for the near-infrared part of electromagnetic spectrum in the normalized difference vegetation index calculation.

引用

页码：391 / 406

页数：16