2022
DOI: 10.1111/gcbb.12939
|View full text |Cite
|
Sign up to set email alerts
|

Identification of early abandonment in cropland through radar‐based coherence data and application of a Random‐Forest model

Abstract: In the context of increased pressures on land for food and non‐food production, it is relevant to understand better, which land resources have become unused and abandoned and where these lands are. Data on where these lands are and what their extend is are not collected in regular statistics. In this paper, we present an approach to detect signs of abandonment in cropping land using radar coherence data. The methodology was tested in the Spanish regions of Albacete and Soria where agricultural land abandonment… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 7 publications
(4 citation statements)
references
References 49 publications
0
4
0
Order By: Relevance
“…Based on the three-survey data, this paper uses GIS technology to identify the types of arable land cultivation attributes of "uncultivated" and "planting non-crops", which, to a certain extent, integrates the two issues of abandonment of arable land and non-grain of arable land. Combining the results of previous research on abandonment and non-grain [ [37] , [38] , [39] , [40] ],Although the level of arable land abandonment is low compared to the level of arable land non-grain, it does not mean that arable land abandonment is a lower priority for remediation, both of them have the same impact on food security to a certain extent, and will cause some damage to the tillage layer of arable land, both of them need to focus on the management of the arable land with a longer abandonment period. Arable land that has been left fallow for a long period of time is prone to soil fertility loss, and it is difficult to replant the land.…”
Section: Discussionmentioning
confidence: 86%
“…Based on the three-survey data, this paper uses GIS technology to identify the types of arable land cultivation attributes of "uncultivated" and "planting non-crops", which, to a certain extent, integrates the two issues of abandonment of arable land and non-grain of arable land. Combining the results of previous research on abandonment and non-grain [ [37] , [38] , [39] , [40] ],Although the level of arable land abandonment is low compared to the level of arable land non-grain, it does not mean that arable land abandonment is a lower priority for remediation, both of them have the same impact on food security to a certain extent, and will cause some damage to the tillage layer of arable land, both of them need to focus on the management of the arable land with a longer abandonment period. Arable land that has been left fallow for a long period of time is prone to soil fertility loss, and it is difficult to replant the land.…”
Section: Discussionmentioning
confidence: 86%
“…Recent programmes, including the EU MAGIC project ( https://magic‐h2020.eu/ ), have worked to improve these definitions and quantify potential land area to better evaluate the impact of land‐use change to PBC production (Elbersen et al, 2018 ; European Commission et al, 2022 ; Von Cossel, Lewandowski, et al, 2019 ). At a European level, spatial analyses are beginning to use remote sensing to identify abandoned, degraded or contaminated lands that could move from annual to perennial crop production, that is, available for PBCs, afforestation or rewilding (European Commission et al, 2022 ; Meijninger et al, 2022 ).…”
Section: Push Factormentioning
confidence: 99%
“…Early stage identification of land abandonment is necessary to maximize exploitation of marginal land. The study of Meijninger et al (2022) introduces a novel approach for identifying arable land abandonment using radar coherence data in combination with a Random Forest model. The results of this study show that radar-based analysis is a relatively simple method to detect land abandonment at an early stage and allow monitoring and rapid policy response.…”
Section: Potential Crop Cultivation On Marginal Landmentioning
confidence: 99%