A new SPOT4-VEGETATION derived land cover map of Northern Eurasia

Барталев, С.А.; Belward, Alan; Erchov, D. V.; Isaev, A. S.

doi:10.1080/0143116031000066297

Cited by 185 publications

(114 citation statements)

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“…But one major exception relates to the former command economies, particularly Siberia, where deforestation is significant and occurring at high rates (72,73). Intensification and expansion in cultivated lands.…”

Section: Increasing Concentrations Of "Greenhouse" Gases and Global Wmentioning

confidence: 99%

“…periurban, recreational, and preservation-conservation uses and through more rapid growth from increased carbon dioxide and global warming (71)(72)(73)(74)(75)(76)(77)(78)(79)(80)(81)(82). But one major exception relates to the former command economies, particularly Siberia, where deforestation is significant and occurring at high rates (72,73).…”

Section: Increasing Concentrations Of "Greenhouse" Gases and Global Wmentioning

confidence: 99%

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Long-term trends and a sustainability transition

Kates¹,

Parris²

2003

Proc. Natl. Acad. Sci. U.S.A.

277

127

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How do long-term global trends affect a transition to sustainability? We emphasize the ''multitrend'' nature of 10 classes of trends, which makes them complex, contradictory, and often poorly understood. Each class includes trends that make a sustainability transition more feasible as well as trends that make it more difficult. Taken in their entirety, they serve as a checklist for the consideration of global trends that impact place-based sustainability studies.

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Section: Increasing Concentrations Of "Greenhouse" Gases and Global Wmentioning

confidence: 99%

Section: Increasing Concentrations Of "Greenhouse" Gases and Global Wmentioning

confidence: 99%

Long-term trends and a sustainability transition

Kates¹,

Parris²

2003

Proc. Natl. Acad. Sci. U.S.A.

277

127

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“…NDVI values and angular data selected on the basis of the maximum NDVI value over 10-days periods (Bartalev et al 2003, Stroppiana et al 2003). …”

Section: Data Collection and Processingmentioning

confidence: 99%

Detection of fire impact and vegetation recovery over tropical peat swamp forest by satellite data and ground-based NDVI instrument

Segah

Tani

Hirano

2010

International Journal of Remote Sensing

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Multitemporal Principal Component Analysis (MPCA) was used for processing Landsat TM/ETM+ satellite images. MPCA was able to merge spectral data corresponding to TM-1996 (pre-fire in 1997), ETM-2000 (post-fire 1997 and pre-fire 2002) and ETM-2003 (post-fire in 2002), which was crucial for detecting the fire impact and vegetation recovery. Results indicate that the burnt areas of 1997 and 2002 were 89,086 ha (16.5%) and 31,859 ha (5.9%), respectively, within the study area of 540,000 ha. SPOT-VEGETATION 10-days Maximum Value Composite (MVC) data were also used and compared with Normalized Difference Vegetation Index (NDVI) from ground-based NDVI. Our research demonstrates the strong relationship between Landsat TM/ETM+, SPOT-VEGETATION data and ground-based NDVI to identifying land cover changes and vegetation recovery over the tropical peat swamp forest area in Central Kalimantan, Indonesia that is affected by forest fires that occurred in 1997 and 2002

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“…Email: jan.clevers@wur.nl derived using time series with 1 km data obtained from the National Oceanic and Atmospheric Administration's (NOAA) Advanced Very High Resolution Radiometer (AVHRR) (Hansen et al 2000, Loveland et al 2000. In Europe, 1 km data from the Vegetation instrument (VGT), on board the Système Probatoire de l'Observation de la Terre (SPOT)-4, have been used for producing land cover products (Bartalev et al 2003). Recently, a 1 km land cover map has been compiled using a time series of data from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the Terra platform (Friedl et al 2002).…”

Section: Introductionmentioning

confidence: 99%

Using MERIS on Envisat for land cover mapping in the Netherlands

Clevers

Schaepman

Mücher

et al. 2007

International Journal of Remote Sensing

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This paper describes the results of a feasibility study to test the usefulness of MERIS for land cover mapping. The Netherlands was used as a test site because of its highly fragmented landscape. Results showed that the geometric and radiometric properties of the studied MERIS images of the Netherlands are suitable for land applications. Calculation of principal components and correlation coefficients revealed that the 15 MERIS bands provided a lot of redundant spectral information. For land applications, information came from the visible part of the spectrum on the one hand and from the near-infrared part on the other hand. In addition, the red-edge slope of the reflectance curve (in particular MERIS band 9 at about 708nm) provided supplementary informa-tion. The Dutch land use database LGN5 was used as a reference for classifications in this study after aggregation from 25 m to 300 m and recoding to 7 relevant land cover classes. For land cover classification best results in terms of classification accuracies were obtained for the image of 14 July 2003. For the seven land cover classes selected the overall classification accuracy was 67.2%. A multitemporal classification did not improve the overall classification accuracy. This article maybe used for research, teaching and private study purposes. Any substantial or systematic reproduction, re-distribution, re-selling, loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden.The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. This paper describes the results of a feasibility study to test the usefulness of MERIS for land cover mapping. The Netherlands was used as a test site because of its highly fragmented landscape. Results showed that the geometric and radiometric properties of the studied MERIS images of the Netherlands are suitable for land applications. Calculation of principal components and correlation coefficients revealed that the 15 MERIS bands provided a lot of redundant spectral information. For land applications, information came from the visible part of the spectrum on the one hand and from the near-infrared part on the other hand. In addition, the red-edge slope of the reflectance curve (in particular MERIS band 9 at about 708 nm) provided supplementary information. The Dutch land use database LGN5 was used as a reference for classifications in this study after aggregation from 25 m to 300 m and recoding to 7 relevant land cover classes. For land cover classification best results in terms of classification accuracies were obtained for the image of 14 July 200...

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A new SPOT4-VEGETATION derived land cover map of Northern Eurasia

Cited by 185 publications

References 1 publication

Long-term trends and a sustainability transition

Long-term trends and a sustainability transition

Detection of fire impact and vegetation recovery over tropical peat swamp forest by satellite data and ground-based NDVI instrument

Using MERIS on Envisat for land cover mapping in the Netherlands

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