scholarly journals Soil Vulnerability Assessment of Afikpo South Local Government Area, Ebonyi State, Nigeria

2019 ◽  
pp. 248-256
Author(s):  
Okonufua Endurance ◽  
Olajire O. Olabanji ◽  
Ojeh N. Vincent ◽  
Christiana Ovie Akpoduado ◽  
Joshua Maaku Mark
Keyword(s):  
Local Government ◽  
Soil Loss ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Soil Resources ◽  
Gis Environment ◽  
Using Data ◽  
Steep Slopes ◽  
Conservation And Management ◽  
Soil Loss Equation

Remote Sensing and Geographic Information System (GIS) integrated with the Revised Universal Soil Loss Equation (RUSLE) was adopted to estimate the rate of annual soil loss in Afikpo South Local Government. This is important due to the fact that agriculture is the main source of livelihood in the area. The RUSLE factors were computed using data such as rainfall from NIMET, Soil from FAO, elevation from SRTM and Landsat 8 OLI from USGS. The data were used as input in a GIS environment and the annual soil loss was generated using the RUSLE equation. The result shows that the average annual soil loss ranges from 0 to 155, 858 ha/ton/yr. It was also observed that soil erosion was predominant in the southern part of Afikpo South LGA due to the presence of steep slopes in the area. The study serves as preliminary documentation for planning, conservation and management of soil resources in the Local Government.

scholarly journals Perda de solo na bacia do rio São Lamberto com uso de séries temporais de imagens Landsat

Agrarian ◽  
2020 ◽  
Vol 13 (49) ◽  
pp. 362-376
Author(s):  
Alan Hakinen Aquino Tolentino ◽  
Edson De Oliveira Vieira ◽  
Bruna Nogueira Rezende ◽  
Pedro Augusto Alves Amaral ◽  
Leidivan Almeida Frazão
Keyword(s):  
Soil Loss ◽  
Universal Soil Loss Equation ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Landsat 5 Tm ◽  
Soil Loss Equation

O rio São Lamberto é um importante afluente do rio Jequitaí na bacia do Rio São Francisco e é fonte de água para projetos de irrigação e, principalmente, pecuária na região, e são poucos os estudos de análise de superfície de sua bacia submetido ao uso e ocupação do solo ao longo dos anos. O objetivo do trabalho foi estimar a perda de solo no contexto da degradação ambiental na Bacia do rio São Lamberto, MG, por meio do uso de dados orbitais e séries temporais de imagens LANDSAT associadas à aplicação da Universal Soil Loss Equation - USLE. Foram elaborados um vetor de delimitação da bacia através do software ArcGIS 10.1 com aquisição de imagens LANDSAT 5-TM e LANDSAT 8-OLI, e classificação supervisionada destas. Foram obtidos os fatores da USLE para elaboração do mapa de susceptibilidade à perda de solo (fator A) nos anos 1995, 2005 e 2014. A partir da utilização do módulo LEGAL do SPRING 5.2 gerou-se os mapas de susceptibilidade a perda de solos, para os três anos estudados. As classes utilizadas foram: vegetação densa (cerradão), cerrado, pastagem, pasto sujo, área agrícola, área urbana e solo exposto.Verificou-se que a classe vegetação densa se mostrou predominante ao longo dos anos de 1995, 2005 e 2014, com 47,55%, 41,13% e 38,84%, respectivamente, da área total da bacia. Conclui-se a que a Bacia do rio São Lamberto, demostrou boa conservação ambiental, com 91,2% de suas áreas apresentando baixa susceptibilidade à ocorrência de erosão laminar (0 a 10 t.ha-1.ano-1).

scholarly journals Estimating soil loss from a watershed in Western Deccan, India, using Revised Universal Soil Loss Equation

2016 ◽  
Vol 10 (1) ◽  
pp. 13-25 ◽  
Author(s):  
Veena Joshi ◽  
Nilesh Susware ◽  
Debasree Sinha
Keyword(s):  
Conservation Planning ◽  
Soil Loss ◽  
Tolerance Limit ◽  
Design Tool ◽  
Universal Soil Loss Equation ◽  
The World ◽  
Loss Models ◽  
Gis Environment ◽  
Semi Arid ◽  
Soil Loss Equation

USLE (Universal Soil Loss Equation) is the original and the most widely accepted soil loss estimation technique till date which has evolved from a design tool for conservation planning to a research methodology all across the globe. The equation has been revised and modified over the years and became a foundation for several new soil loss models developed all around the world. The equation has been revised as RUSLE by Renard et al. (1991) and is computed in GIS environment. The Revised equation is landuse independent which makes it a useful technique to apply in a variety of environment. The present paper is an attempt to estimate soil loss from a semi-arid watershed in Western Deccan, India by employing RUSLE. The region is a rocky terrain and sediments are restricted to only a few localities. The result indicates that the region is at the threshold of soil tolerance limit.

scholarly journals Multitemporal analysis of estimated soil loss for the river Mourão watershed, Paraná – Brazil

2015 ◽  
Vol 75 (4 suppl 2) ◽  
pp. 120-130 ◽  
Author(s):  
C. H. Graça ◽  
F. H. Passig ◽  
A. R. Kelniar ◽  
M. A. Piza ◽  
K. Q. Carvalho ◽  
...  
Keyword(s):  
Soil Loss ◽  
Water Erosion ◽  
Surface Erosion ◽  
Western Region ◽  
Land Uses ◽  
Geography Information System ◽  
Hydrographic Basin ◽  
Gis Environment ◽  
Geography Information ◽  
Soil Loss Equation

The multitemporal behavior of soil loss by surface water erosion in the hydrographic basin of the river Mourão in the center-western region of the Paraná state, Brazil, is analyzed. Forecast was based on the application of the Universal Soil Loss Equation (USLE) with the data integration and estimates within an Geography Information System (GIS) environment. Results had shown high mean annual rain erosivity (10,000 MJ.mm.ha–1.h–1.year–1), with great concentration in January and December. As a rule, soils have average erodibilities, exception of Dystroferric Red Latisol (low class) and Dystrophic Red Argisol (high class). Although the topographic factor was high (>20), rates lower than 1 were predominant. Main land uses comprise temporal crops and pasture throughout the years. The watershed showed a natural potential for low surface erosion. When related to usage types, yearly soil loss was also low (<50 ton.ha–1.year–1), with more critical scores that reach rates higher than 150 ton.ha–1.year–1. Soil loss over the years did not provide great distinctions in distribution standards, although it becames rather intensified in some sectors, especially in the center-eastern and southwestern sections of the watershed.

scholarly journals GIS Based Universal Soil Erosion Estimation in District Chakwal Punjab, Pakistan

2020 ◽  
Vol 11 (2) ◽  
pp. 30-36
Author(s):  
Saima Siddiqui ◽  
Mirza Wajid Ali Safi ◽  
Aqil Tariq ◽  
Naveed Ur Rehman ◽  
Syed Waseem Haider
Keyword(s):  
Soil Erosion ◽  
Soil Loss ◽  
Management Practices ◽  
Rainwater Harvesting ◽  
Landsat 8 ◽  
River Channels ◽  
Slope Length ◽  
Raster Calculator ◽  
Aster Gdem ◽  
Steep Slopes

Soil erosion is a serious environmental problem faced by district Chakwal. Unpredictable short term and high intensity rainfall, improper cultivation and deforestation have accelerated the soil erosion in the district. The agricultural productivity of the study area can be enhanced by understanding, estimating and controlling the root causes of soil erosion. This study was undertaken to estimate and spatially represent the rate of average annual soil erosion in Chakwal using GIS/RS techniques. The soil erosion was estimated using Universal Soil Loss Equation (USLE) model. To find out parameters of USLE, ASTER GDEM of 30 m resolution was used to estimate slope length and elevation of the study area. Landsat 8 satellite imagery of year 2019, was used to prepare land use map using supervised classification. Soil map with texture and geomorphology was used to identify soils of study area and rainfall data of last 7 years was also studied. Finally, the soil loss has been computed using raster calculator of ArcGIS 10.2 software. The average annual soil loss was predicted up to 268,619 tons/acre/year, of which maximum soil erosion was occurring near the steep slopes and river channels. It is necessary to adapt sustainable land management practices to reduce the risk of further soil erosion, by adopting rainwater harvesting and choosing right crops for suitable soil types.

Assessment of Soil Loss using Revised Universal Soil Loss Equation (RUSLE): A Remote Sensing and GIS Approach

2018 ◽  
Vol 2 (1) ◽  
pp. 65-75 ◽  
Author(s):  
Ajaykumar Kadam ◽  
B. N. Umrikar ◽  
R. N. Sankhua
Keyword(s):  
Remote Sensing ◽  
Soil Loss ◽  
Remote Sensing Data ◽  
Tropical Rainfall Measuring Mission ◽  
Remote Sensing And Gis ◽  
Universal Soil Loss Equation ◽  
Rainfall Erosivity ◽  
Slope Length ◽  
Gis Environment ◽  
Soil Loss Equation

A comprehensive methodology that combines Revised Universal Soil Loss Equation (RUSLE), Remote Sensing data and Geographic Information System (GIS) techniques was used to determine the soil loss vulnerability of an agriculture mountainous watershed in Maharashtra, India. The spatial variation in rate of annual soil loss was obtained by integrating raster derived parameter in GIS environment. The thematic layers such as TRMM [Tropical Rainfall Measuring Mission] derived rainfall erosivity (R), soil erodibility (K), GDEM based slope length and steepness (LS), land cover management (C) and factors of conservation practices (P) were calculated to identify their effects on average annual soil loss. The highest potential of estimated soil loss was 688.397 t/ha/yr. The mean annual soil loss is 1.26 t/ha/yr and highest soil loss occurs on the main watercourse, since high slope length and steepness. The spatial soil loss maps prepared with RUSLE method using remote sensing and GIS can be helpful as a lead idea in arising plans for land use development and administration in the ecologically sensitive hilly areas.

scholarly journals Classificação do relevo com base nos elementos de Geomorphons e sua relação com a vegetação florestal nativa na Serra do Caverá - Sudoeste do RS, Brasil

GeoTextos ◽  
2019 ◽  
Vol 15 (1) ◽  
Author(s):  
Paula Mirela Almeida Guadagnin ◽  
Romario Trentin
Keyword(s):  
Rio Grande ◽  
Forest Vegetation ◽  
Native Forest ◽  
Landsat 8 ◽  
Rio Grande Do Sul ◽  
Landsat 8 Oli ◽  
Southwest Region ◽  
Gis Environment

As formas e a composição do relevo são fatores que contribuem na determinação da ocorrência e dos tipos de vegetação de determinado local. A associação da vegetação com determinados ambientes, em função da insolação recebida, da disponibilidade hídrica, entre outros fatores, está diretamente relacionada à configuração do relevo de uma área. Este trabalho busca demonstrar a relação existente entre a configuração do relevo e a distribuição da vegetação florestal nativa na Serra do Caverá, na região sudoeste do Rio Grande do Sul. A classificação do relevo da área de estudo foi realizada com base nos Geomorphons, a partir do MDE oriundo dos dados SRTM, obtendo-se dez elementos de relevo. Após o mapeamento da vegetação, realizado com base na interpretação de imagens do satélite LANDSAT 8 OLI, foi realizado o cruzamento das informações em ambiente SIG, com o software ArcGis 10.3, ferramenta ArcMap, e também através do cálculo da razão de frequência (Fr). A maior correlação observada foi com os elementos vales e áreas planas (42,52%), seguida da vegetação ocorrente em encostas, bases de encostas e relevos escavados, que juntos somaram 40,85% do total da vegetação florestal da área de estudo. Abstract RELIEF CLASSIFICATION BASED ON THE ELEMENTS OF GEOMORPHONS AND THEIR RELATIONS WITH NATIVE FOREST VEGETATION IN THE SERRA DO CAVERÁ - SOUTHWEST OF RS, BRAZIL The composition and the forms of the relief are factors that contribute in the determination of the occurrence and the types of vegetation of a certain place. The association of vegetation with certain environments due to the sunshine received, water availability, among others, are directly related to the configuration of the relief of an area. The objective of this work is to demonstrate the relations between the configuration of the relief and the distribution of the native forest vegetation in the Serra do Caverá, in the southwest region of Rio Grande do Sul. The relief classification of the study area was based on the Geomorphons, from the DEM generated through the SRTM data, obtaining ten elements. After the vegetation mapping was carried out based on the interpretation of images of the satellite LANDSAT 8 OLI, the information was cross-referenced in a GIS environment, with ArcGis 10.3 software, ArcMap tool, also by calculating the frequency ratio (Fr). The highest correlation observed was with the valleys and flat areas (42.52%), followed by vegetation on hillsides, slope bases and excavated reliefs, which together added up to 40.85% of the total forest vegetation in the study area.

scholarly journals Relative reduction in annual soil loss in micro watersheds due to the relief and forest cover

2011 ◽  
Vol 31 (6) ◽  
pp. 1202-1211 ◽  
Author(s):  
Rafael Mingoti ◽  
Carlos A Vettorazzi
Keyword(s):  
Decision Making ◽  
Soil Loss ◽  
Forest Cover ◽  
Relative Reduction ◽  
Public Agencies ◽  
Technical Data ◽  
Average Slope ◽  
Gis Environment ◽  
Intense Debate ◽  
Soil Loss Equation

With the intense debate, in Brazil, between landowners and public agencies about the amount of area with forest cover needed in different regions, there is an increase of the need for provision of technical data used as a basis for decision making. One of the criteria to evaluate the effect of forest cover in protecting water resources is the soil loss, which leads to several consequences on the environment, including the silting of the rivers. Therefore, this study aimed to evaluate the reduction in the soil loss in micro watersheds with different reliefs, size and location of forest cover, in the Corumbataí River watershed, in the state of São Paulo, using the Revised Universal Soil Loss Equation (RUSLE) in a GIS environment. For this study, 18 watersheds in three degrees of slope were selected, and 20 scenarios for land-use were established, by analyzing the influence of the PPA size, and the size and the location of the Legal Reserve. The results showed that: a) the effect of forest cover in reducing annual soil loss varies depending on the average slope of the watershed; b) the PPA width must be determined taking into account the slope of the watershed; c) the Legal Reserve must be located along the PPA. These provide better results in reducing annual soil loss.

scholarly journals Spatial Prediction of Erosion Risk of a Small Mountainous Watershed Using RUSLE: A Case-Study of the Palar Sub-Watershed in Kodaikanal, South India

Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1608 ◽  
Author(s):  
Evangelin Sujatha ◽  
Venkataramana Sridhar
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Environmental Degradation ◽  
Soil Loss ◽  
Spatial Prediction ◽  
Development Planning ◽  
Sustainable Land Use ◽  
Landsat 8 ◽  
Land Use Practices ◽  
Soil Loss Equation

An erosion model using the Revised Universal Soil Loss Equation (RUSLE) equation derived from the Advanced Spaceborne Thermal Emission and Reflection Global Digital Elevation Model (ASTER G-DEM) and LANDSAT 8 is presented in the study. This model can be a cost-effective, quick and less labor-intensive tool for assessing erosion in small watersheds. It can also act as a vital input for the primary assessment of environmental degradation in the region, and can aid the formulation of watershed development planning strategies. The Palar River, which drains into Shanmukha Nadi, is a small mountain watershed. The town of Kodaikanal, a popular tourist attraction in Tamilnadu, forms part of this sub-watershed. This quaint, hill-town has been subjected to intense urbanization and exhaustive changes in its land use practices for the past decade. The consequence of this change is manifested in the intense environmental degradation of the region, which results in problems such as increased numbers of landslides, intense soil erosion, forest fires and land degradation. The nature of the terrain, high precipitation, and intense agriculture exponentially increase the rate of soil erosion. Spatial prediction of soil erosion is thereby a valuable and mandatory tool for sustainable land use practices and economic development of the region. A comprehensive methodology is employed to predict the spatial variation of soil erosion using the revised soil loss equation in a geographic information system (GIS) platform. The soil erosion susceptibility map shows a maximum annual soil loss of 3345 Mg·ha−1·y−1, which correlates with scrub forests, degraded forests, steep slopes, high drainage density and shifting cultivation practices. The erosion map shows that the central region is subjected to intense erosion while the inhabited southern part is less prone to erosion. A small patch of severe soil loss is also visible on the eastern part of the northern fringe. About 4% of the sub-watershed is severely affected by soil erosion and 18% falls within a moderate erosion zone. The growing demand for land and infrastructure development forces the shift of urbanization and agriculture to these less-managed spaces. In light of this scenario, the spatial distribution of erosion combined with terrain and hydro-morphometry can aid in sustainable development and promote healthy land use practices in the region.

scholarly journals ASSESSMENT OF THE QUANTITY OF THE MATERIAL TRANSPORTED DOWNSTREAM OF SPERCHIOS RIVER, CENTRAL GREECE

2017 ◽  
Vol 43 (2) ◽  
pp. 737 ◽  
Author(s):  
G. Sigalos ◽  
V. Loukaidi ◽  
S. Dasaklis ◽  
A. Alexouli-Livaditi
Keyword(s):  
Information Systems ◽  
Soil Loss ◽  
Geographical Information Systems ◽  
Drainage System ◽  
Geographical Information ◽  
Natural Ecosystem ◽  
Drainage Network ◽  
Gis Environment ◽  
Transported Material ◽  
Soil Loss Equation

It is well known that streams are an integral part of a natural ecosystem. The Sperchios valley is crossed by a large number of seasonal or permanent flow streams and rivers, out of which the Sperchios river can be distinguished, not only for its length but also for the area surrounded by the boundaries of its drainage system. The present study is aimed to estimate the quantity of the transported material at the mouth of Sperchios River. For this purpose we applied the Revised Universal Soil Loss Equation (RUSLE) model to the Sperchios drainage network in a Geographical Information Systems (GIS) environment. We estimated that approximately 2,308,000 tons per year are flooded mainly down the Sperchios drainage system, supporting the Malian delta.

scholarly journals Application of RUSLE integrated with GIS and remote sensing techniques to assess soil erosion in Anambra State, South-Eastern Nigeria

2020 ◽  
Vol 11 (S1) ◽  
pp. 407-422 ◽  
Author(s):  
Fidelis Odedishemi Ajibade ◽  
Nathaniel Azubuike Nwogwu ◽  
Bashir Adelodun ◽  
Taofeeq Sholagberu Abdulkadir ◽  
Temitope Fausat Ajibade ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Soil Erosion ◽  
Soil Loss ◽  
Universal Soil Loss Equation ◽  
Rainfall Erosivity ◽  
Landsat 8 ◽  
Gis And Remote Sensing ◽  
Anambra State ◽  
Remote Sensing Techniques ◽  
Soil Loss Equation

Abstract Soil erosion and mass movement processes spread across Anambra State in Nigeria, therefore making management and conservation techniques expensive and difficult in execution across the entire state. This study employed the Revised Universal Soil Loss Equation (RUSLE) model with the integration of geographic information system (GIS) and remote sensing techniques to assess the risk of soil erosion and hotspots in the area. Remotely sensed data such as Landsat 8 imagery, Shuttle Radar Topography Mission (SRTM) imagery, Era-Interim coupled with world soil database were used as digital data sources for land use map, digital elevation model, rainfall and soil data, respectively, to generate the Universal Soil Loss Equation (USLE) parameters. The results indicated vulnerability levels in low, medium and high cover areas of 4,143.62 (91%), 332.29 (7%) and 84.06 (2%) km2, respectively, with a total soil loss between 0 and 181.237 ton/ha/yr (metric ton per hectare per year). This study revealed that high rainfall erosivity, steep and long slopes, and low vegetation cover were the main factors promoting soil loss in the area. Thus, the amount of soil loss in Anambra State is expected to increase with climate change and anthropogenic activities.

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