Home - Castile and León crop and natural surfaces
Castile and Leon crops and natural land map (MCSNCyL, Spanish acronym) is a land cover layer, updated annually, obtained through satellite imagery. The goal of the project is to produce a land use map that represents the changes in annual arable crops as well as permanent crops and the areas of natural vegetation. The project began in 2013, and since then layers for the years 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019 and 2020 have been generated.
From 2017 onwards the spatial resolution it is improved from 20 to 10 m as long as Sentinel-2 imagery becomes more reliable in terms of availability. The classification is performed using a machine learning algorithm trained with data retrieved from several sources, especially Integrated Administration and Control System for Common Agricultural Policy subsidies database and some other Land use databases available in Spain (Land Parcel Identification System, SIOSE, Mapa Forestal, etc.). This approach does not require any fieldwork.
The project is led by the Agricultural Technological Institute of Castile and Leon (ITACyL) and has the support of the Duero River Basin District Authority and the National Geographical Institute of Spain for the image acquisition. The Regional Ministry of Public Works and Environment and the Regional Ministry of Agriculture cooperate in the supply of training cases. The project is an adaptation of the US Crop Data Layer from US Department of Agriculture.
This project has been included in the Horizon 2020 project Sentinels Synergy for Agriculture (SENSAGRI) that aimed to exploit the unprecedented capacity of S1 and S2 to develop an innovative portfolio of prototypes agricultural monitoring services. SENSAGRI was proposed in response of the H2020 EO Work programme "EO-3-2016: Evaluation of Copernicus Services".
The overall classification accuracy is 96.80% on average (kappa coefficient around 0.96), being generally higher in permanent crop classes than in other crops or natural land. A complementary map has been published this year for the first time to identify the areas actually irrigated and which has been detected by remote sensing.
Further information about the project and the class-specific accuracy metrics obtained from this land cover map can be found in the following published scientific papers:
- "Mapa de cultivos y superficies naturales de Castilla y León" published in the XVI Congress of the Spanish Association of Remote Sensing in 2015 (in Spanish language).
- Poster presented in the 2017 ESA World Cover Conference.
- "Accuracy assessment of a 122 classes land cover map based on Sentinel-2, Landsat 8 and Deimos-1 images and ancillary data" published in the 38º International Geosciences And Remote Sensing Symposium in 2018 (IGARSS 2018) and the poster presented there.
- "Seguimiento y evaluación de la capacidad de discriminación de cultivos herbáceos en regadío a partir de imágenes de satélite en el periodo 2016-2018" published in the XVIII Congress of the Spanish Association of Remote Sensing in 2019 (in Spanish language).
- "A Methodological Approach for Irrigation Detection in the Frame of Common Agricultural Policy Checks by Monitoring" Agronomy. 2020; 10(6):867 https://www.mdpi.com/2073-4395/10/6/867
More information about the project can be found in this presentation in English.