Changes in agricultural land use in Estonia in the 1990s detected with multitemporal Landsat MSS imagery

Peterson, Urmas; Aunap, Raivo

doi:10.1016/s0169-2046(98)00058-9

Cited by 96 publications

(44 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Nevertheless, multi-spectral scanners are restricted by lower data availability due to haze or clouds, especially when based on a satellite system. This fact is documented in many studies where lower classification accuracies result from insufficient input data [14][15][16][17].…”

Section: Introductionmentioning

confidence: 89%

Multi-Temporal Land-Cover Classification of Agricultural Areas in Two European Regions with High Resolution Spotlight TerraSAR-X Data

Bargiel

Herrmann

2011

Remote Sensing

View full text Add to dashboard Cite

Functioning ecosystems offer multiple services for human well-being (e.g., food, freshwater, fiber). Agriculture provides several of these services but also can cause negative impacts. Thus, it is essential to derive up-to-date information about agricultural land use and its change. This paper describes the multi-temporal classification of agricultural land use based on high resolution spotlight TerraSAR-X images. A stack of l4 dual-polarized radar images taken during the vegetation season have been used for two different study areas (North of Germany and Southeast Poland). They represent extremely diverse regions with regard to their population density, agricultural management, as well as geological and geomorphological conditions. Thereby, the transferability of the classification method for different regions is tested. The Maximum Likelihood classification is based on a high amount of ground truth samples. Classification accuracies differ in both regions. Overall accuracy for all classes for the German area is 61.78% and 39.25% for the Polish region. Accuracies improved notably for both regions (about 90%) when single vegetation classes were merged into groups of classes. Such regular land use classifications, applicable for different European agricultural sites, can serve as basis for monitoring systems for agricultural land use and its related ecosystems.

show abstract

Section: Introductionmentioning

confidence: 89%

Multi-Temporal Land-Cover Classification of Agricultural Areas in Two European Regions with High Resolution Spotlight TerraSAR-X Data

Bargiel

Herrmann

2011

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…It is also applicable to the world [56], Central and Eastern Europe, where agriculture is dominant [56][57][58], and in Poland [59][60][61]. Studies by Łowicki [62] and Zydroń and Hausa [63] for Wielkopolska and Senetra et al [64] conducted in the Warmia and Mazury region confirm similar changes in the structure of land use to the ones in the Małopolskie Voivodeship as well.…”

Section: Resultsmentioning

confidence: 70%

Determining Changes in Land Use Structure in Małopolska Using Statistical Methods

Noszczyk

Rutkowska

Hernik

2017

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

“…In urban regions, agricultural areas are increasingly seen as potential areas for development, rather than as sites for agricultural production. A reduction in areas of arable land over the last two decades has also been typical for other CEECs and northern European countries in which an agricultural landscape dominates (Mander & Jongman 1998;Peterson & Aunap 1998).…”

Section: Discussionmentioning

confidence: 84%

A stepwise multi-scaled landscape typology and characterisation for trans-regional integration, applied on the federal state of Belgium

Eetvelde

Antrop

2009

Landscape and Urban Planning

122

View full text Add to dashboard Cite

Changes in agricultural land use in Estonia in the 1990s detected with multitemporal Landsat MSS imagery

Cited by 96 publications

References 7 publications

Multi-Temporal Land-Cover Classification of Agricultural Areas in Two European Regions with High Resolution Spotlight TerraSAR-X Data

Multi-Temporal Land-Cover Classification of Agricultural Areas in Two European Regions with High Resolution Spotlight TerraSAR-X Data

Determining Changes in Land Use Structure in Małopolska Using Statistical Methods

A stepwise multi-scaled landscape typology and characterisation for trans-regional integration, applied on the federal state of Belgium

Contact Info

Product

Resources

About