Abstract
The cropping intensity has received growing concern in the agriculture field in applications such as harvest area research. Notwithstanding the significant amount of existing literature on local cropping intensities, research considering global datasets appears to be limited in spatial resolution and precision. In this paper, we present an annual dynamic global cropping intensity dataset covering the period from 2001 to 2019 at a 250-m resolution with an average overall accuracy of 89%, exceeding the accuracy of the current annual dynamic global cropping intensity data at a 500-m resolution. We used the enhanced vegetation index (EVI) of MOD13Q1 as the database via a sixth-order polynomial function to calculate the cropping intensity. The global cropping intensity dataset was packaged in the GeoTIFF file type, with the quality control band in the same format. The dataset fills the vacancy of medium-resolution, global-scale annual cropping intensity data and provides an improved map for further global yield estimations and food security analyses.
Highlights
Background & SummaryCroplands are rapidly changing under the high-intensity management of human activities[1]
Numerous researchers have developed global or regional cropping intensity maps using remote sensing datasets or statistical datasets. Some of these maps focus on the national scale while ignoring spatial information;[8,9] some emphasize the corresponding algorithm while only experimenting in a few selected regions;[10,11] and a few researchers have given close attention to studying the global cropping intensity but only in a single year[4,6,12], and these datasets might be difficult to use in annual dynamic monitoring applications[13]
The dataset described the cropping intensity distribution and its qualitative value from 2001 to 2019 at a 250-m resolution with an average overall accuracy of 89%; these data were packaged in the GeoTIFF file type, and the quality control band was in the same format
Summary
Background & SummaryCroplands are rapidly changing under the high-intensity management of human activities[1]. The dataset described the cropping intensity distribution and its qualitative value from 2001 to 2019 at a 250-m resolution with an average overall accuracy of 89%; these data were packaged in the GeoTIFF file type, and the quality control band was in the same format.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
