Use of landsat radiance parameters to distinguish soil erosion, stability, and deposition in arid Central Australia

Pickup, G.; Nelson, D.J.

doi:10.1016/0034-4257(84)90064-6

Cited by 62 publications

(29 citation statements)

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“…Green and dry vegetation and plant litter all occur below the soil band and plot at a similar perpendicular distance from it, although green vegetation may be slightly further away. The index is calculated using the perpendicular distance index equations of Pickup & Nelson (1984) and has had extensive use and testing in Australian rangelands and, more recently, in Botswana (Dube 2000a).…”

Section: Methodsmentioning

confidence: 99%

Effects of rainfall variability and communal and semi-commercial grazing on land cover in southern African rangelands

Dube

Pickup²

2001

Clim. Res.

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Semi-arid ecosystems in southern Africa are experiencing change due to natural variability in rainfall and to changes in the type and intensity of land use. This paper applies grazing gradient techniques to vegetation cover dynamics in areas of communal and semi-commercial grazing in the Kalahari rangelands of Botswana to see whether human impact can be separated from that of climate variability. Landsat Thematic Mapper and Multispectral Scanner data were acquired for the Gumare and Hainaveld areas for a number of wet and dry seasons. Vegetation cover was mapped using the PD54 vegetation index. Gradients in both vegetation cover and vegetation response to rainfall were identified under communal use, suggesting both human impact and human-induced degradation. However, patterns were complex because of multiple focal points in the hinterland of larger settlements. Gradients in vegetation response were more effective than gradients in cover as identifiers of human impact in semi-commercial grazing areas. These gradients intensify in dry periods but vegetation partially recovers after good rains. Over time, however, the gradients are intensifying, suggesting that long-term grazing impact is occurring. As gradients intensify and degradation increases, vulnerability of grazing systems to rainfall variability and to drought is likely to intensify.

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Section: Methodsmentioning

confidence: 99%

Effects of rainfall variability and communal and semi-commercial grazing on land cover in southern African rangelands

Dube

Pickup²

2001

Clim. Res.

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“…Genellikle toprağın tane büyüklüğü küçüldükçe, toprak renginin parlaklığı artmaktadır (Sanchez-Maran˜on, 2004). Toprak agregatlarının bozulup daha küçük parçalara ayrılmasının toprak renginin çok belirgin bir şekilde değişimine neden olduğu ve özellikle ufalanmış toprakların, parlaklıklarının fark edilir derecede arttığı belirlenmiştir (Torrent ve Barro´n, 1993 …”

Section: Toprak Parlaklığının (Tekstür) Erozyon üZerindeki Etkisiunclassified

Büyükçay Havzası’nın (Elazığ Doğusu) Erozyon Risk Haritasının Hazırlanması/Forming Of Erosion Risk Map Of Buyukçay Basin( East Of Elazig)

Avcı¹,

Yüksel²

2016

Kastamonu Üniversitesi Orman Fakültesi Dergisi

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ÖzetBu çalışmada ağırlıklı çakıştırma yöntemi kullanılarak Büyükçay Havzası'nın erozyon risk analizlerinin yapılması amaçlanmıştır. Elazığ'ın güneydoğusunda yer alan Büyükçay Havzası, Mastar Dağı ve Keban Barajı ile çevrilidir. Havzanın KD-GB doğrultusunda fayla kesilmesi önemli yükselti farkına neden olmuştur. Eğim değerlerinin yüksek olduğu havzada bitki örtüsü seyrektir. Büyükçay Havzası'nın iklimi, jeomorfolojik ve bitki örtüsü özellikleri nedeniyle çok şiddetli erozyon yaşanmaktadır. Erozyon sonucu özellikle kuzey ve kuzeybatıdaki dağlık alanlardan taşınan malzeme, havzanın batı ve doğusunda yer alan tarım alanlarını etkilemektedir. Bunun yanında taşınan malzeme Keban Baraj Gölü'nde siltasyona neden olmaktadır. Bu çalışmada eğim, bitki örtüsü, drenaj yoğunluğu ve toprak parlaklığı (tekstür) kullanılarak havza için erozyon risk analizleri yapılmıştır. Risk analizleri Coğrafi Bilgi Sistemleri (CBS) ve Uzaktan Algılama (UA) yöntemleri kullanılarak yapılmıştır. Yapılan arazi gözlemleri ile erozyon üzerinde etkili olan faktörlerin önem derecesi belirlenmiş ve bu faktörlere ağırlık değeri atanmıştır. Ağırlıkları belirlenen faktör haritaları toplanarak erozyon risk haritası oluşturulmuştur. Erozyon risk analizlerine göre Büyükçay Havzası'nın % 24'i erozyona karşı yüksek derecede risklidir. Orta derecede riskli alanlar % 44, riskin düşük olduğu alanlar ise % 25'lik orana sahiptir. Bu sonuçlara göre Büyükçay Havzası'nda erozyon riskinin yüksek olduğu görülmektedir. Bu nedenle mikro havza faaliyetleri kapsamında erozyonla mücadele çalışmalarının hızlandırılması gerekmektedir.Anahtar Kelimeler: Elazığ, Büyükçay Havzası, Erozyon Risk Analizi, Coğrafi Bilgi Sistemleri Forming Of Erosion Risk Map of Büyükçay Basin (Elazığ) AbstractIn this study, it has been aimed to carry out erosion risk analysis of Büyükçay Basin using weighted overlay method. Located in the southeast of Elazığ, Büyükçay Basin is surrounded by Mastar Mountain and Keban Dam. The basin's having been cut by a fault in NE-SW direction have caused significant difference in elevation. Vegetation is sparse in the basin, where slope values are high. Very severe erosions have been seen in Büyükçay Basin due to its climate, geomorphologic and vegetation features. As a result of the erosion, material especially carried from mountain areas in north and north-west, affects the agriculture lands in the east and west of the basin. Besides, carried material causes siltation in the Keban Dam Lake. In this study, erosion risk analysis has been done for the basin by using slope, vegetation, drainage density and soil brightness (texture). Risk analysis has been done using Geographıc Information Systems and Remote Sensing methods. Significance of factors on field observations and erosion have been assigned and weight value has been added to these factors. Collecting factor maps whose weigts have been determined, risk map has been created. According to the erosion risk analysis, an area of 24% in Büyükçay Basin is high-risk areas to the erosion. Medium-risk areas and low-ri...

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“…This combination seems to violate fundamental assumptions on which remote sensing is based, including (1) spectral reflectance signals from elements on the ground are isolated from environmental and instrumental noise, (2) targets are spectrally separable from background, and (3) different target types have unique spectral signatures. 6,7 In addition, the surface characteristics found in desert regions, such as a subtle topographical gradient and limited exposure of soils, make existing data collection and processing tools (e.g., light detection and ranging, the soil stability index 8 ) inadequate for reliably characterizing monitoring indicators in drylands. Therefore, there is a need to develop remote-sensing methods that are applicable to monitoring the unique environmental features in desert regions.…”

Section: Introductionmentioning

confidence: 99%

Remote-sensing application for facilitating land resource assessment and monitoring for utility-scale solar energy development

Hamada

Grippo

2015

J. Appl. Remote Sens

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Abstract. A monitoring plan that incorporates regional datasets and integrates cost-effective data collection methods is necessary to sustain the long-term environmental monitoring of utility-scale solar energy developments in expansive, environmentally sensitive desert regions. An image processing routine using very high spatial resolution (VHSR; i.e., 15 cm) multispectral imagery collected in November 2012 and January 2014 was developed to characterize ephemeral streams, vegetation, and land surfaces in the southwestern United States, where increased utilityscale solar development is anticipated. In addition to information about desert landscapes, the methodology integrates existing spectral indices and transformations (e.g., visible atmospherically resistant index and principal components); a new index called the erosion resistance index (ERI); and digital terrain and surface models, all of which were derived from a common VHSR image. The methodology identified fine-scale ephemeral streams at greater detail than does the National Hydrography Dataset, and it accurately estimated the distribution of vegetation and the fractional cover of various surface types. The ERI classified surface types that have a range of erosive potentials. The remote-sensing methodology could ultimately reduce uncertainty and monitoring costs for all stakeholders by providing a cost-effective monitoring approach that accurately characterizes the land resources at potential development sites. © The Authors.Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Use of landsat radiance parameters to distinguish soil erosion, stability, and deposition in arid Central Australia

Cited by 62 publications

References 1 publication

Effects of rainfall variability and communal and semi-commercial grazing on land cover in southern African rangelands

Effects of rainfall variability and communal and semi-commercial grazing on land cover in southern African rangelands

Büyükçay Havzası’nın (Elazığ Doğusu) Erozyon Risk Haritasının Hazırlanması/Forming Of Erosion Risk Map Of Buyukçay Basin( East Of Elazig)

Remote-sensing application for facilitating land resource assessment and monitoring for utility-scale solar energy development

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