Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017, Vol. 14, No. 4, pp. 125-131
Map of winter crops of the season 2017 placed on the service VEGA: results of selective quality control
I.Yu. Savin
1, 2 , X. Zhang
3 , E.A. Shishkonakova
1 , A.V. Zhogolev
1 , B.S. Gabdullin
1 1 V.V. Dokuchaev Soil Science Institute, Moscow, Russia
2 Agrarian-Technological Institute of RUDN, Moscow, Russia
3 Institute of Remote Sensing and Digital Earth, Beijing, China
Accepted: 28.06.2017
DOI: 10.21046/2070-7401-2017-14-4-125-131
Winter crop masks, based on MODIS satellite data, are regularly laid out from the Internet service VEGA as one of the operational products. The information of the quality of such masks is important for practical use, however this information is not available on the VEGA service. The article presents some results of the field verification of the quality of the winter crop mask laid out on the site on May 12, 2017 in Moscow and Tula regions of Russia. It is found out that MODIS pixels identified on the mask as “winter crop” cannot cover the entire arable plot, but can also “grab” adjacent fields. There are many cases where within the plot there are only few pixels identified as “winter crops”. Most likely this is due to the status of winter crops on the field and it indicates that the used algorithm detects only crops in good condition. Many pixels are expected to be mistakenly classified on the boundaries between plots. Errors in the detection of individual plots with winter crops are also quite numerable. This is due to the size and shape of the plots, fairly small spatial resolution of the MODIS data, as well as due to peculiarities of the algorithm used. VEGA masks may well be used as a first approximation of geographic location of the winter crops, but the assessment of winter crop sowing areas (and, consequently, the assessment of their condition and the forecast of yields) for the territory of the Moscow and Tula regions can hardly be successful.
Keywords: satellite monitoring, crop recognition, winter crops, MODIS, quality check
Full textReferences:
- Loupian E.A., Bartalev S.A., Savin I.Yu., Tekhnologii sputnikovogo monitoringa v sel’skom khozyaistve Rossii (Satellite monitoring technologies in agriculture of Russia), Aerokosmicheskii kur’er, 2009, No. 6, pp. 47–49.
- Plotnikov D.E., Bartalev S.A., Loupian E.A., Metod detektirovaniya letne-osennikh vskhodov ozimykh kul’tur po dannym radiometra MODIS (Method of detection of summer-autumn emergence of winter crops based on radiometer MODIS data), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2008, Issue 5, Vol. 2, pp. 322–330.
- Savin I.Yu., Vernyuk Yu.I., Isaev V.A., Operativnyi sputnikovyi monitoring posevov (Operative satellite crop monitoring), Vestnik rossiiskoi sel’skokhozyaistvennoi nauki, 2014, No. 1, pp. 22–23.
- Spravochnik agronoma po sel’skokhozyaistvennoi meteorologii (Agronomist's reference book on agricultural meteorology), Leningrad: Gidromet, 1986, 340 p.
- Blaes X., Vanhalle L., Efficiency of crop identification based on optical and SAR image time series, Remote sensing of environment, 2005, Vol. 96, No. 3-4, pp. 352–365.
- Gallego F.J., Remote sensing and land cover area estimation, International Journal of Remote Sensing, 2004, Vol. 25, No. 15, pp. 3019–3047.
- Gallego J., Craig M., Michaelsen J., Bossyns B., Fritz S. (eds.) GEOSS. Best practices for crop area estimation with Remote Sensing, Ispra: JRC, 2010, 10 p.
- Stehman S.V., Model-assisted estimation as a unifying framework for estimating the area of land cover and land-cover change from remote sensing, Remote Sensing of Environment, 2009, Vol. 113, pp. 2455–2462.