Soil salinity modeling and mapping using remote sensing and GIS: The case of Wonji sugar cane irrigation farm, Ethiopia

Asfaw, Engdawork; Suryabhagavan, K. V.; Argaw, Mekuria

doi:10.1016/j.jssas.2016.05.003

Cited by 138 publications

(95 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Salinity is recognised as one of the greatest land degradation process and ultimate decline in soil productivity especially in arid and semi-arid regions [93,94]. High levels of salts in water used for irrigation has been implicated to affect soil fertility and crop yield [95].…”

Section: Salinity Footprints and Adaptation Failurementioning

confidence: 99%

Perception of Environmental Spillovers across Scale in Climate Change Adaptation Planning: The Case of Small-Scale Farmers’ Irrigation Strategies, Kenya

Volenzo¹,

Odiyo²

2019

Preprint

View full text Add to dashboard Cite

The failure to acknowledge and account for environmental externalities or spillovers in climate change adaptation policy, advocacy and programming spaces exercabates the risk of ecological degradation, more so, degradation of land. In particular use of unsuitable water sources for irrigation may increase salinisation risks. However, little if any policy assessments and research effort has been directed at investigating how farmer perceptions mediate spillovers from the ubiquitous irrigation adaptation strategy. In this study cognitive failure and/or bias construct is examined and proposed as an analytical lens in research, policy and learning and the convergence of disaster risk reduction and climate change adaptation discourses. The findings from small-scale farmers, Machakos and Kakamega counties, Kenya, suggest multifaceted biases and failures about the existence and importance of externalities in adaptation planning discourses. Among other dimensions, cognitive failure which encompasses fragmented approaches among institutions for use and management of resources, inadequate policy and information support, as well as, poor integration of actors in adaptation planning accounts for adaptation failure. The failures in such Human-Environment system interactions have the potential to exercabate existing vulnerability of farmer production systems in the long run. The findings further suggest that in absence of risk message information dissemination, education level, farming experience and information accumulation, as integral elements to human capital, do not seem to have significant effect on behaviour about mitigation of environmental spillovers. Implicitly, reversing the inherent adaptation failures calls for system approaches that enhance coordinated adaptation planning, prioritises proactive mitigation of slow onset disaster risks and broadens decision support systems, such as, risk information dissemination integration into the existing adaptation policy discourses and practice.

show abstract

Section: Salinity Footprints and Adaptation Failurementioning

confidence: 99%

Perception of Environmental Spillovers across Scale in Climate Change Adaptation Planning: The Case of Small-Scale Farmers’ Irrigation Strategies, Kenya

Volenzo¹,

Odiyo²

2019

Preprint

View full text Add to dashboard Cite

show abstract

“…Remote sensing has been shown to be a particularly valuable tool for monitoring soil conditions frequently and spatially [4][5][6]. The presence of salts can be detected directly on bare soils with salt crust via the variation of spectral reflectance, and the spectral behaviour of salt has been studied in detail [7,8]. However, the ability to map soil salinity using the direct approach is limited, especially in agricultural areas [9,10].…”

Section: Introductionmentioning

confidence: 99%

A Case Study of the Forced Invariance Approach for Soil Salinity Estimation in Vegetation-Covered Terrain Using Airborne Hyperspectral Imagery

Liu

Buchroithner

2018

IJGI

View full text Add to dashboard Cite

Soil spectroscopy is a promising technique for soil analysis, and has been successfully utilized in the laboratory. When it comes to space, the presence of vegetation significantly affects the performance of imaging spectroscopy or hyperspectral imaging on the retrieval of topsoil properties. The Forced Invariance Approach has been proven able to effectively suppress the vegetation contribution to the mixed image pixel. It takes advantage of scene statistics and requires no specific a priori knowledge of the referenced spectra. However, the approach is still mainly limited to lithological mapping. In this case study, the objective was to test the performance of the Forced Invariance Approach to improve the estimation accuracy of soil salinity for an agricultural area located in the semi-arid region of Northwest China using airborne hyperspectral data. The ground truth data was obtained from an eco-hydrological wireless sensing network. The relationship between Normalized Difference Vegetation Index (NDVI) and soil salinity is discussed. The results demonstrate that the Forced Invariance Approach is able to improve the retrieval accuracy of soil salinity at a depth of 10 cm, as indicated by a higher value for the coefficient of determination (R 2 ). Consequently, the vegetation suppression method has the potential to improve quantitative estimation of soil properties with multivariate statistical methods.

show abstract

“…3,7 Common indicators of desertification include a decrease in land and soil properties and quality, and their ability to undertake their normal ecosystem functions, all of which lead to an increase in soil erosion and salinization. 2,[7][8][9] They are also strongly linked to health and human development indicators, 6 which can also be employed to indirectly assess the dynamics of desertification (triggers, driving forces, impact, trends, and mitigation plans). The main drivers of desertification include deforestation, overgrazing, overcultivation, pressure of population, water usage, industrialization, and inappropriate land use practices.…”

Section: Introductionmentioning

confidence: 99%

Assessment of remote sensing-based classification methods for change detection of salt-affected areas (Biskra area, Algeria)

Afrasinei

Melis

Buttau

et al. 2017

J. Appl. Remote Sens

View full text Add to dashboard Cite

In the Wadi Biskra arid and semiarid areas, sustainable development is restricted by land degradation processes such as secondary salinization of soils. Being an important highquality date production region of Algeria, this area needs continuous monitoring of desertification indicators, hence highly exposed to climate-related risks. Given the limited access to field data, appropriate methods were assessed for the identification and change detection of salt-affected areas, involving image interpretation and automated classifications employing Landsat imagery, ancillary and multisource ground truth data. First, a visual photointerpretation study of the land cover and land use classes was undergone according to acknowledged methodologies. Second, two automated classification approaches were developed: a customized decision tree classification (DTC) and an unsupervised one applied to the principal components of Knepper ratios composite. Five indices were employed in the DTC construction, among which also is a salinity index. The diachronic analysis was undergone for the 1984 to 2015 images (including seasonal approach), being supported by the interpreted land cover/land use map for error estimation. Considering also biophysical and socioeconomic data, comprehensive results are discussed. One of the most important aspects that emerged was that the accelerated expansion of agricultural land in the last three decades has led and continues to contribute to a secondary salinization of soils

show abstract

Soil salinity modeling and mapping using remote sensing and GIS: The case of Wonji sugar cane irrigation farm, Ethiopia

Cited by 138 publications

References 18 publications

Perception of Environmental Spillovers across Scale in Climate Change Adaptation Planning: The Case of Small-Scale Farmers’ Irrigation Strategies, Kenya

Perception of Environmental Spillovers across Scale in Climate Change Adaptation Planning: The Case of Small-Scale Farmers’ Irrigation Strategies, Kenya

A Case Study of the Forced Invariance Approach for Soil Salinity Estimation in Vegetation-Covered Terrain Using Airborne Hyperspectral Imagery

Assessment of remote sensing-based classification methods for change detection of salt-affected areas (Biskra area, Algeria)

Contact Info

Product

Resources

About

Soil salinity modeling and mapping using remote sensing and GIS: The case of Wonji sugar cane irrigation farm, Ethiopia

Cited by 138 publications

References 18 publications

Perception of Environmental Spillovers across Scale in Climate Change Adaptation Planning: The Case of Small-Scale Farmers&rsquo; Irrigation Strategies, Kenya

Perception of Environmental Spillovers across Scale in Climate Change Adaptation Planning: The Case of Small-Scale Farmers&rsquo; Irrigation Strategies, Kenya

A Case Study of the Forced Invariance Approach for Soil Salinity Estimation in Vegetation-Covered Terrain Using Airborne Hyperspectral Imagery

Assessment of remote sensing-based classification methods for change detection of salt-affected areas (Biskra area, Algeria)

Contact Info

Product

Resources

About

Perception of Environmental Spillovers across Scale in Climate Change Adaptation Planning: The Case of Small-Scale Farmers’ Irrigation Strategies, Kenya

Perception of Environmental Spillovers across Scale in Climate Change Adaptation Planning: The Case of Small-Scale Farmers’ Irrigation Strategies, Kenya