Analysis and identification of abandoned agricultural land using remote sensing methodology

Visockienė, Jūratė Sužiedelytė; Tumelienė, Eglė; Malienė, Vida

doi:10.1016/j.landusepol.2019.01.013

Cited by 38 publications

(16 citation statements)

References 4 publications

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“…The selected research case study was Vilnius District Municipality, near Dirmeitai village (Figures 1 and 2), as the majority of abandoned agricultural land, evaluating the total area of each municipality, was situated in Vilnius District Municipality [14].…”

Section: Test Area and Datasetsmentioning

confidence: 99%

Identification of Heracleum sosnowskyi-Invaded Land Using Earth Remote Sensing Data

2020

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H. sosnowskyi (Heracleum sosnowskyi) is a plant that is widespread both in Lithuania and other countries and causes abundant problems. The damage caused by the population of the plant is many-sided: it menaces the biodiversity of the land, poses risk to human health, and causes considerable economic losses. In order to find effective and complex measures against this invasive plant, it is very important to identify places and areas where H. sosnowskyi grows, carry out a detailed analysis, and monitor its spread to avoid leaving this process to chance. In this paper, the remote sensing methodology was proposed to identify territories covered with H. sosnowskyi plants (land classification). Two categories of land cover classification were used: supervised (human-guided) and unsupervised (calculated by software). In the application of the supervised method, the average wavelength of the spectrum of H. sosnowskyi was calculated for the classification of the RGB image and according to this, the unsupervised classification by the program was accomplished. The combination of both classification methods, performed in steps, allowed obtaining better results than using one. The application of authors’ proposed methodology was demonstrated in a Lithuanian case study discussed in this paper.

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Section: Test Area and Datasetsmentioning

confidence: 99%

Identification of Heracleum sosnowskyi-Invaded Land Using Earth Remote Sensing Data

2020

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“…Abandonment is a dynamic process affected by a complex range of drivers that vary over time and space [1]. Generally, it occurs in areas where farming is not viable due to geographic position, demographic and socio-economic factors, unadapted agricultural systems, mismanagement (resulting in soil degradation, frequent flooding, overexploitation, and productivity loss), historical factors (e.g., the restitution process), and agro-ecological factors (e.g., low quality infertile lands) [2,3].…”

Section: Introductionmentioning

confidence: 99%

A Review of the Application of Remote Sensing Data for Abandoned Agricultural Land Identification with Focus on Central and Eastern Europe

et al. 2019

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This study aims to analyze and assess studies published from 1992 to 2019 and listed in the Web of Science (WOS) and Current Contents (CC) databases, and to identify agricultural abandonment by application of remote sensing (RS) optical and microwave data. We selected 73 studies by applying structured queries in a field tag form and Boolean operators in the WOS portal and by expert analysis. An expert assessment yielded the topical picture concerning the definitions and criteria for the identification of abandoned agricultural land (AAL). The analysis also showed the absence of similar field research, which serves not only for validation, but also for understanding the process of agricultural abandonment. The benefit of the fusion of optical and radar data, which supports the application of Sentinel-1 and Sentinel-2 data, is also evident. Knowledge attained from the literary sources indicated that there exists, in the world literature, a well-covered problem of abandonment identification or biomass estimation, as well as missing works dealing with the assessment of the natural accretion of biomass in AAL.

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“…On the one hand, it can increase the efficiency of cultivated land use and grain production; on the other hand, it can reduce the risk of ecological damage caused by cropland reclamation and save land reclamation funds [28]. Therefore, the government needs to attach great importance to the phenomenon of cultivated land abandonment and conduct a comprehensive investigation based on the standardized definition of abandoned cultivated land to know the scale and understand the mechanism of cultivated land abandonment [67][68][69], then a utilization plan can be developed, such as fallow rotation, reclamation, and other ways to prioritize the use of abandoned cultivated land where production conditions are good.…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Dynamics of Cultivated Land and Its Influences on Grain Production Potential in Hunan Province, China

Tong

et al. 2020

Land

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Understanding the impact of changes in cultivated land in terms of structure, distribution, and quantity on grain production potential (GPP) is essential for a sustainable land utilization strategy and food security. Cultivated land balance (CLB), as a critical policy aiming at protecting farmland in China, has greatly restricted the loss of cultivated land. However, changes in cultivated land were largely generated due to the land-use activities led by the CLB policy. To clarify how the spatiotemporal dynamics of cultivated land led by the CLB policy affects the GPP, this work discusses the impact mechanism of cultivated land changes on GPP and provides an empirical analysis in Hunan Province, China. This study shows that the activities that merely aim at restricting the loss of cultivated land under CLB cannot stop the decline in GPP in China, since it requires the government to reclaim a certain amount of cultivated land that is equal to that occupied for non-cultivated land use. Furthermore, the distribution of cultivated land changed after the implementation of CLB and, as a result, contributed to the decrease in the quality of cultivated land and GPP. Quantity, productivity, and other elements that may potentially facilitate cultivated land protection are greatly advocated to be considered to enrich the connotation of the CLB policy in China. It also found that less developed regions located in central and western Hunan Province, among other areas, observed a higher sensitivity of GPP to cultivated land change. More attention should be paid to protecting cultivated land in these regions and addressing issues such as the abandonment of high-quality cultivated land.

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Analysis and identification of abandoned agricultural land using remote sensing methodology

Cited by 38 publications

References 4 publications

Identification of Heracleum sosnowskyi-Invaded Land Using Earth Remote Sensing Data

Identification of Heracleum sosnowskyi-Invaded Land Using Earth Remote Sensing Data

A Review of the Application of Remote Sensing Data for Abandoned Agricultural Land Identification with Focus on Central and Eastern Europe

Spatiotemporal Dynamics of Cultivated Land and Its Influences on Grain Production Potential in Hunan Province, China

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