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Remote Sensing
Volume 15
Issue 5
10.3390/rs15051236
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Article

Cropland Productivity Evaluation: A 100 m Resolution Country Assessment Combining Earth Observation and Direct Measurements

by
Nándor Csikós
1,*,
Brigitta Szabó
1,
Tamás Hermann
2,
Annamária Laborczi
1,
Judit Matus
1,
László Pásztor
1,
Gábor Szatmári
1,
Katalin Takács
1 and
Gergely Tóth
1,2
1
Centre for Agricultural Research, Institute for Soil Sciences, Hermann Otto 15., H-1022 Budapest, Hungary
2
Institute of Advanced Studies, Chernel u. 14., H-9730 Kőszeg, Hungary
*
Author to whom correspondence should be addressed.
Remote Sens. 2023, 15(5), 1236; https://doi.org/10.3390/rs15051236
Submission received: 6 December 2022 / Revised: 21 February 2023 / Accepted: 22 February 2023 / Published: 23 February 2023
(This article belongs to the Special Issue Crops and Vegetation Monitoring with Remote/Proximal Sensing)
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Abstract

A methodology is presented for the quantitative assessment of soil biomass productivity at 100 m spatial resolution on a national scale. The traditional land evaluation approach—where crop yield is the dependent variable—was followed using measured yield and net primary productivity data derived from satellite images, together with digital soil and climate maps. In addition to characterizing of soil biomass productivity based on measured data, the weight of soil properties on productivity was also quantified to provide measured soil health and soil quality indicators as an information base for designing sustainable land management practices. To produce these results, we used only the Random Forest method for our calculations. The study considers high-input agriculture, which is predominant in the country. Biomass productivity indices for the main crops (wheat, maize and sunflowers) and general productivity indices were calculated for the whole agricultural area of Hungary. Results can be implemented in cadastral systems, in applied in agricultural and rural development programs. The assessment can be repeated for monitoring purposes to support general monitoring objectives as well as for reporting in relation to the United Nations Sustainable Development Goals. However, on the basis of the results, we also propose a method for periodically updating the assessment, which can also be used for monitoring biomass productivity in the context of climate change, land degradation and the development of cultivation technology.
Keywords: random forest; land evaluation; soil; biomass; Hungary; gross primary productivity; soil health; soil quality random forest; land evaluation; soil; biomass; Hungary; gross primary productivity; soil health; soil quality

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MDPI and ACS Style

Csikós, N.; Szabó, B.; Hermann, T.; Laborczi, A.; Matus, J.; Pásztor, L.; Szatmári, G.; Takács, K.; Tóth, G. Cropland Productivity Evaluation: A 100 m Resolution Country Assessment Combining Earth Observation and Direct Measurements. Remote Sens. 2023, 15, 1236. https://doi.org/10.3390/rs15051236

AMA Style

Csikós N, Szabó B, Hermann T, Laborczi A, Matus J, Pásztor L, Szatmári G, Takács K, Tóth G. Cropland Productivity Evaluation: A 100 m Resolution Country Assessment Combining Earth Observation and Direct Measurements. Remote Sensing. 2023; 15(5):1236. https://doi.org/10.3390/rs15051236

Chicago/Turabian Style

Csikós, Nándor, Brigitta Szabó, Tamás Hermann, Annamária Laborczi, Judit Matus, László Pásztor, Gábor Szatmári, Katalin Takács, and Gergely Tóth. 2023. "Cropland Productivity Evaluation: A 100 m Resolution Country Assessment Combining Earth Observation and Direct Measurements" Remote Sensing 15, no. 5: 1236. https://doi.org/10.3390/rs15051236

APA Style

Csikós, N., Szabó, B., Hermann, T., Laborczi, A., Matus, J., Pásztor, L., Szatmári, G., Takács, K., & Tóth, G. (2023). Cropland Productivity Evaluation: A 100 m Resolution Country Assessment Combining Earth Observation and Direct Measurements. Remote Sensing, 15(5), 1236. https://doi.org/10.3390/rs15051236

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