Statistical Classification for Assessing PRISMA Hyperspectral Potential for Agricultural Land Use

Amato, Umberto; Antoniadis, Anestis; Carfora, Maria Francesca; Colandrea, P.; Cuomo, V.; Franzese, Monica; Pignatti, Stefano; Serio, Carmine

doi:10.1109/jstars.2013.2255981

Cited by 30 publications

(15 citation statements)

References 26 publications

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“…Moreover, the selection of the best Hyperspectral Narrow-Bands (HNBs) allows one to get rid of the Hughes phenomenon in the context of supervised classification using hyperspectral data. For example, Amato et al [57] obtained close performances with a limited number of spectral bands, mainly spread on the VNIR PRISMA spectrum in order to classify agricultural land use. However, some studies have also demonstrated that SVC can overcome this phenomenon [58,59].…”

Section: Preliminary Analysis Of the Literature Databasementioning

confidence: 99%

Survey of Hyperspectral Earth Observation Applications from Space in the Sentinel-2 Context

et al. 2018

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In the last few decades, researchers have developed a plethora of hyperspectral Earth Observation (EO) remote sensing techniques, analysis and applications. While hyperspectral exploratory sensors are demonstrating their potential, Sentinel-2 multispectral satellite remote sensing is now providing free, open, global and systematic high resolution visible and infrared imagery at a short revisit time. Its recent launch suggests potential synergies between multi-and hyper-spectral data. This study, therefore, reviews 20 years of research and applications in satellite hyperspectral remote sensing through the analysis of Earth observation hyperspectral sensors' publications that cover the Sentinel-2 spectrum range: Hyperion, TianGong-1, PRISMA, HISUI, EnMAP, Shalom, HyspIRI and HypXIM. More specifically, this study (i) brings face to face past and future hyperspectral sensors' applications with Sentinel-2's and (ii) analyzes the applications' requirements in terms of spatial and temporal resolutions. Eight main application topics were analyzed including vegetation, agriculture, soil, geology, urban, land use, water resources and disaster. Medium spatial resolution, long revisit time and low signal-to-noise ratio in the short-wave infrared of some hyperspectral sensors were highlighted as major limitations for some applications compared to the Sentinel-2 system. However, these constraints mainly concerned past hyperspectral sensors, while they will probably be overcome by forthcoming instruments. Therefore, this study is putting forward the compatibility of hyperspectral sensors and Sentinel-2 systems for resolution enhancement techniques in order to increase the panel of hyperspectral uses.

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Section: Preliminary Analysis Of the Literature Databasementioning

confidence: 99%

Survey of Hyperspectral Earth Observation Applications from Space in the Sentinel-2 Context

et al. 2018

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“…Unfortunately, we did not have a land-use classification map for two dates, and therefore could not calibrate the model at one date and compare the forecast land-use pattern with the observed land use at the other date. To generate a land-use map, we performed a discriminant function-based land-use classification, an approach common in remote sensing disciplines [44][45][46]. LANDSAT reflectance bands for 2010 [47] were used to calibrate discriminant functions for each land-use type from a known land-use map for 2008.…”

Section: Validationmentioning

confidence: 99%

If They Come, Where will We Build It? Land-Use Implications of Two Forest Conservation Policies in the Deep Creek Watershed

Anputhas

Janmaat

Nichol

et al. 2019

Forests

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Research Highlights: Forest conservation policies can drive land-use change to other land-use types. In multifunctional landscapes, forest conservation policies will therefore impact on other functions delivered by the landscape. Finding the best pattern of land use requires considering these interactions. Background and Objectives: Population growth continues to drive the development of land for urban purposes. Consequently, there is a loss of other land uses, such as agriculture and forested lands. Efforts to conserve one type of land use will drive more change onto other land uses. Absent effective collaboration among affected communities and relevant institutional agents, unexpected and undesirable land-use change may occur. Materials and Methods: A CLUE-S (Conversion of Land Use and its Effects at Small Scales) model was developed for the Deep Creek watershed, a small sub-basin in the Okanagan Valley of British Columbia, Canada. The valley is experiencing among the most rapid population growth of any region in Canada. Land uses were aggregated into one forested land-use type, one urban land-use type, and three agricultural types. Land-use change was simulated for combinations of two forest conservation policies. Changes are categorized by location, land type, and an existing agricultural land policy. Results: Forest conservation policies drive land conversion onto agricultural land and may increase the loss of low elevation forested land. Model results show where the greatest pressure for removing land from agriculture is likely to occur for each scenario. As an important corridor for species movement, the loss of low elevation forest land may have serious impacts on habitat connectivity. Conclusions: Forest conservation policies that do not account for feedbacks can have unintended consequences, such as increasing conversion pressures on other valued land uses. To avoid surprises, land-use planners and policy makers need to consider these interactions. Models such as CLUE-S can help identify these spatial impacts.

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“…One study, of two different regions in Italy, analyzed Multispectral Visible and Infrared Imaging Spectrometer (MIVIS) imagery [62]. For the Tessera region near Venice, researchers differentiated several types of cultivated vegetationsoybeans, corn, sugar beets, alfalfa, wheat stubble, along with mixed woods, water, and urban.…”

Section: Hyperspectral Imagerymentioning

confidence: 99%

Land Use/Land Cover Monitoring and Geospatial Technologies: An Overview

Parece

Campbell

2015

The Handbook of Environmental Chemistry

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Statistical Classification for Assessing PRISMA Hyperspectral Potential for Agricultural Land Use

Cited by 30 publications

References 26 publications

Survey of Hyperspectral Earth Observation Applications from Space in the Sentinel-2 Context

Survey of Hyperspectral Earth Observation Applications from Space in the Sentinel-2 Context

If They Come, Where will We Build It? Land-Use Implications of Two Forest Conservation Policies in the Deep Creek Watershed

Land Use/Land Cover Monitoring and Geospatial Technologies: An Overview

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