scholarly journals Land use/Land Cover Change Assessment of Ysr Kadapa District, Andhra Pradesh, India using Irs Resourcesat-1/2 Liss Iii Multi-Temporal Open Source Data

2019 ◽  
Vol 8 (3) ◽  
pp. 8139-8151
Keyword(s):  
Andhra Pradesh ◽  
Temporal Dynamics ◽  
Rate Of Change ◽  
Change Assessment ◽  
Sensing Technology ◽  
Open Source Data ◽  
Erdas Imagine ◽  
Multi Temporal ◽  
Liss Iii ◽  
Spatio Temporal

LULC change assessment by the Remote sensing Technology helps in understanding land dynamics effectively compared to conventional field inspection methods. This study provides the spatio-temporal dynamics of LULC classes in the Kadapa District, Andhra Pradesh, India. IRS Resourcesat-1/2 LISS III Multi-Temporal remote sensed data, from Bhuvan - Indian Geo-platform of ISRO is intended to assessment the changes in the study area during the years 2005-2006, 2011-2012 and 2015-2016 over tenure of 10 years. At the end the study area claasified into five major classes namely Built-up, Agriculture, Forest, Wastelands and waterbodies using ERDAS Imagine 2015. The results indicate net change and rate of change of LULC classes over the period of 10 years. Net change in Built-up land is 89.91%( 167.12 km2 ), Net change (decreased) in Agriculture land is 3.76% (256.05km2 ), Net increment in the Forest land is 2.39 %( 114.83km2 ), Wastelands decreased by 2.92 %( 79.09km2 ), and waterbodies increased by 6.28% (52.9 km2 )

scholarly journals Observing land-use/land-cover dynamics in semi-arid environment: Evidence from Damaturu Town and its surrounding lands, Yobe State, Nigeria

2020 ◽  
Vol 4 (2) ◽  
pp. 55-78
Author(s):  
Modibbo Babagana-Kyari ◽  
Babagana Boso
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Arid Environment ◽  
Land Use Land Cover ◽  
Temporal Aspects ◽  
Erdas Imagine ◽  
Annual Change Rate ◽  
Multi Temporal ◽  
Spatio Temporal ◽  
Supervised Image Classification

The fragile Sudano-Sahelian ecological zone of Nigeria has been classified as a hotspot of land cover change (LCC) that has been suffering from serious anthropogenic and biophysical stresses. Damaturu, being the fastest growing town situated in the region happened to be a victim of this negative development. The purpose of this study is to remotely observe and assess the prevailing land-use/land-cover (LULC) dynamics of Damaturu town and its delicate surrounding lands from the year 1987-2017 study periods. To achieve this, a supervised image classification technique with Maximum Likelihood Classifier (MLC) algorithm was used in ERDAS Imagine version 15 software to classify the three epochs multi-temporal and multi-spectral Landsat imageries (TM 1987, ETM+7 2000 and OLI 2017). The classified LULC maps and their resulting statistics were then used to assess the spatio-temporal aspects of the observed changes by placing the results within the wider context of previous related literature and evidences. Findings revealed that the built-up area has been expanding since 1987 with an annual change rate of 4.5% between 1987-2000, and 5.3% during 2000-2017 respectively. The growth of the town is being accompanied by massive farmlands expansion and vegetal cover (trees and shrubs) lost making the surrounding arable lands seriously disturbed. Thus, if the observed trends continue, the entire studied region will be subjected to severe environmental hazard such as desertification. Overall, the study provides valuable information required for sustainable  environmental management.

scholarly journals Monitoring Land Use/Land Cover Changes in a River Basin due to Urbanization using Remote Sensing and GIS Approach

2014 ◽  
Vol XL-8 ◽  
pp. 949-953
Author(s):  
S. Shukla ◽  
M. V. Khire ◽  
S. S. Gedam
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
River Basin ◽  
Remote Sensing And Gis ◽  
Land Use Land Cover ◽  
Agricultural Lands ◽  
Sensing Technology ◽  
Liss Iii ◽  
Spatio Temporal

Faster pace of urbanization, industrialization, unplanned infrastructure developments and extensive agriculture result in the rapid changes in the Land Use/Land Cover (LU/LC) of the sub-tropical river basins. Study of LU/LC transformations in a river basin is crucial for vulnerability assessment and proper management of the natural resources of a river basin. Remote sensing technology is very promising in mapping the LU/LC distribution of a large region on different spatio-temporal scales. The present study is intended to understand the LU/LC changes in the Upper Bhima river basin due to urbanization using modern geospatial techniques such as remote sensing and GIS. In this study, the Upper Bhima river basin is divided into three adjacent sub-basins: Mula-Mutha sub-basin (ubanized), Bhima sub-basin (semi-urbanized) and Ghod sub-basin (unurbanized). Time series LU/LC maps were prepared for the study area for a period of 1980, 2002 and 2009 using satellite datasets viz. Landsat MSS (October, 1980), Landsat ETM+ (October, 2002) and IRS LISS III (October 2008 and November 2009). All the satellite images were classified into five LU/LC classes viz. built-up lands, agricultural lands, waterbodies, forests and wastelands using supervised classification approach. Post classification change detection method was used to understand the LU/LC changes in the study area. Results reveal that built up lands, waterbodies and agricultural lands are increasing in all the three sub-basins of the study area at the cost of decreasing forests and wastelands. But the change is more drastic in urbanized Mula-Mutha sub-basin compared to the other two sub-basins.

Assessment and monitoring of spatio-temporal changes in Keoladeo Ghana National Park, Rajasthan, India using geoinformatics

2011 ◽  
Vol 4 ◽  
pp. 33-42 ◽  
Author(s):  
C Sudhakar Reddy ◽  
P Hari Krishna ◽  
V Swetha ◽  
T Shivakala ◽  
Prabhu D Charan
Keyword(s):  
Satellite Data ◽  
National Park ◽  
Drastic Reduction ◽  
Irs P6 ◽  
Multi Temporal ◽  
Assessment And Monitoring ◽  
Liss Iii ◽  
Spatio Temporal ◽  
Water Spread

Knowledge of changes in wetlands is becoming a very important issue for sustainable management of natural resources. The present work has been carried out: in Keoladeo Ghana National Park (KNP), a RAMSAR site to study the dynamics of wetlands with reference to long-term and seasonal changes in extent of water spread, vegetation types and to build a spatial database on wetlands. Multi-temporal satellite data of Landsat MSS (1977), Landsat TM data (1989), IRS P6 AWIFS (2005) and IRS P6 LISS III data (2005-2006) was used for mapping and spatial analysis. Comparisons between 1977 and 2005 indicated that changes in overall wetland areas were significant. The total area of wetland in March 1977 was 186 hectares and in March 2005 it was found to be 7.5 ha. There is a drastic reduction in spatial extent of water spread from October to May and results indicated that the total area ranged from 528 ha (October 2005) to 7.5 ha (March-May 2005). The study clearly points that Geoinformatics have become very effective tool for wetlands mapping and monitoring. Key words: wetlands; geoinformatics; satellite data; Keoladeo; RajasthanDOI: 10.3126/jowe.v4i0.3115Journal of Wetlands Ecology, (2010) Vol. 4, pp 33-42

scholarly journals MONITORING CHANGES IN COTTON ACREAGE AND ALTERNATE HOST CROPS OF COTTON BOLLWORM USING REMOTE SENSING AND GIS IN MAJOR COTTON GROWING REGIONS OF INDIA

2019 ◽  
Vol XLII-3/W6 ◽  
pp. 525-533
Author(s):  
D. Verma ◽  
M. H. Kalubarme ◽  
G. P. Saroha ◽  
K. S. Mohan ◽  
K. C. Ravi ◽  
...  
Keyword(s):  
Andhra Pradesh ◽  
Cotton Bollworm ◽  
Bt Cotton ◽  
In Planta ◽  
Alternate Host ◽  
Resistance Evolution ◽  
Multi Temporal ◽  
Liss Iii ◽  
Major Pest ◽  
Almost All

<p><strong>Abstract.</strong> Cotton cultivation has made rapid strides in India since the introduction of Bt cotton, which provided effective protection against its major pest, <i>Helicoverpa armigera</i> and other bollworms. The presence of alternate host crops for cotton bollworms targeted by Bt cotton play a key role in resistance evolution to the <i>in planta</i> expressed Bt proteins. Several host crops for <i>H. armigera</i> such as pigeonpea, sorghum, tomato, chilli, sunflower and corn are cultivated alongside Bt cotton. Change detection in the extent of cotton and alternate host crops of cotton bollworm was conducted using IRS LISS-III data in Punjab, Haryana, Rajasthan, Gujarat, Maharashtra, Andhra Pradesh and Karnataka states. The changes in the extent of cotton and host crops were monitored using multi-temporal data of 2002, 2004 and 2008. The results indicated that Bt cotton (Hirsutum) has almost completely replaced the traditional Indian cotton (<i>Gossypium arborium</i>). Several alternate host crops of H. armigera were grown along with cotton. Pigeonpea was the major host crop in almost all the locations. Chilies dominated in Andhra Pradesh, sunflower in Karnataka and corn in Gujarat. These host crops serve as ‘natural’ refuge of <i>H. armigera</i> and possibly, for this reason this pest has not evolved resistance to the Bt expressed by Bollgard II even after 16 seasons of intensive cultivation; whereas the pink bollworm, a monophagous cotton bollworm, had developed resistance to Cry1Ac in 2009 and to Cry1Ac and Cry2Ab in 2015.</p>

scholarly journals SPATIO-TEMPORAL DYNAMICS ALONG THE TERRAIN GRADIENT OF DIVERSE LANDSCAPE

2014 ◽  
Vol 22 (1) ◽  
pp. 50-63 ◽  
Author(s):  
T. V. Ramachandra ◽  
Settur Bharath ◽  
Aithal Bharath
Keyword(s):  
Land Cover ◽  
Environmental Changes ◽  
Temporal Dynamics ◽  
Demographic Data ◽  
Coastal Region ◽  
Data Sets ◽  
Lulc Change ◽  
Multi Temporal ◽  
Spatio Temporal ◽  
The Impact

Land use (LU) land cover (LC) information at a temporal scale illustrates the physical coverage of the Earth’s terrestrial surface according to its use and provides the intricate information for effective planning and management activities. LULC changes are stated as local and location specifc, collectively they act as drivers of global environmental changes. Understanding and predicting the impact of LULC change processes requires long term historical restorations and projecting into the future of land cover changes at regional to global scales. The present study aims at quantifying spatio temporal landscape dynamics along the gradient of varying terrains presented in the landscape by multi-data approach (MDA). MDA incorporates multi temporal satellite imagery with demographic data and other additional relevant data sets. The gradient covers three different types of topographic features, planes; hilly terrain and coastal region to account the signifcant role of elevation in land cover change. The seasonality is another aspect to be considered in the vegetation dominated landscapes; variations are accounted using multi seasonal data. Spatial patterns of the various patches are identifed and analysed using landscape metrics to understand the forest fragmentation. The prediction of likely changes in 2020 through scenario analysis has been done to account for the changes, considering the present growth rates and due to the proposed developmental projects. This work summarizes recent estimates on changes in cropland, agricultural intensifcation, deforestation, pasture expansion, and urbanization as the causal factors for LULC change.

scholarly journals Spatio-Temporal Dynamics in Land Use and Habitat Fragmentation within a Protected Area Dedicated to Tourism in a Sudanian Savanna of West Africa

2017 ◽  
Vol 10 (1) ◽  
pp. 75-95 ◽  
Author(s):  
Kangbéni Dimobe ◽  
Dethardt Goetze ◽  
Amadé Ouédraogo ◽  
Gerald Forkuor ◽  
Kpérkouma Wala ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Temporal Dynamics ◽  
Habitat Degradation ◽  
Forest Tree ◽  
Landsat Images ◽  
Class Level ◽  
Multi Temporal ◽  
Spatio Temporal ◽  
Bare Soils

AbstractNazinga Game Ranch (NGR) is a reserve in Burkina Faso involving local communities for securing biodiversity through sustainable management. Yet, its ecosystems are threatened by increasing number of elephants and illegal human activities. Renowned as a model of wildlife participatory management, NGR has mainly been studied for its animal wildlife only. The aim of this study was to uncover ecological effects of recent land management on savanna habitats including tourism, and to conclude on more sustainable options, land use/land cover (LULC) changes and vegetation dynamics in NGR were analyzed. This was accomplished with multi-temporal change detection using Landsat images of 1984, 2002 and 2013 to map seven representative LULC classification categories, and quantitative indices of landscape metrics. The results showed that the LULC dynamics in NGR from 1984 to 2013 was mainly characterized by an expansion of gallery forest, tree savanna and agricultural area and a reduction of shrub savanna, woodland and bare soils. From 2002 to 2013, fragmentation in all land cover types increased at the landscape level, whereas at the class level, it decreased for woodland. Our findings provided evidence of habitat degradation in NGR, due to extensive agriculture, tourism and growing of elephants’ population. According to the original management goals and the purposes of the reserve, both fauna and tourism are to be maintained and sustained in a sustainable way. Adaptation of land use and targeted wildlife management are the main requirements for avoiding further degradation of vegetation and thus of the existence basis of local inhabitants, animals and tourism.

scholarly journals Unmanned Aerial Vehicles (UAVs) in environmental biology: a review

2019 ◽  
Vol 4 (2) ◽  
pp. 56-74 ◽  
Author(s):  
Maciej M. Nowak ◽  
Katarzyna Dziób ◽  
Paweł Bogawski
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Temporal Dynamics ◽  
Environmental Research ◽  
Individual Species ◽  
Environmental Biology ◽  
Biophysical Parameters ◽  
Volume Number ◽  
Aerial Vehicles ◽  
Sensing Technology ◽  
Spatio Temporal

Abstract Acquiring information about the environment is a key step during each study in the field of environmental biology at different levels, from an individual species to community and biome. However, obtaining information about the environment is frequently difficult because of, for example, the phenological timing, spatial distribution of a species or limited accessibility of a particular area for the field survey. Moreover, remote sensing technology, which enables the observation of the Earth’s surface and is currently very common in environmental research, has many limitations such as insufficient spatial, spectral and temporal resolution and a high cost of data acquisition. Since the 1990s, researchers have been exploring the potential of different types of unmanned aerial vehicles (UAVs) for monitoring Earth’s surface. The present study reviews recent scientific literature dealing with the use of UAV in environmental biology. Amongst numerous papers, short communications and conference abstracts, we selected 110 original studies of how UAVs can be used in environmental biology and which organisms can be studied in this manner. Most of these studies concerned the use of UAV to measure the vegetation parameters such as crown height, volume, number of individuals (14 studies) and quantification of the spatio-temporal dynamics of vegetation changes (12 studies). UAVs were also frequently applied to count birds and mammals, especially those living in the water. Generally, the analytical part of the present study was divided into following sections: (1) detecting, assessing and predicting threats on vegetation, (2) measuring the biophysical parameters of vegetation, (3) quantifying the dynamics of changes in plants and habitats and (4) population and behaviour studies of animals. At the end, we also synthesised all the information showing, amongst others, the advances in environmental biology because of UAV application. Considering that 33% of studies found and included in this review were published in 2017 and 2018, it is expected that the number and variety of applications of UAVs in environmental biology will increase in the future.

scholarly journals Análise Multitemporal dos Lençóis Maranhenses Entre 1984 a 2014 Utilizando Sensoriamento Remoto Orbital (Spatio-Temporal Analysis of Lençóis Maranhenses Between 1984 and 2014 Using Orbital Remote Sensing)

2016 ◽  
Vol 9 (1) ◽  
pp. 280
Author(s):  
Thiago Diniz Araujo ◽  
Eliana Lima da Fonseca
Keyword(s):  
Remote Sensing ◽  
Near Infrared ◽  
Temporal Dynamics ◽  
Coastal Dunes ◽  
Temporal Analysis ◽  
Landsat 8 ◽  
Infrared Band ◽  
Trade Winds ◽  
Multi Temporal ◽  
Spatio Temporal

A análise multitemporal possibilita comparar uma mesma paisagem entre dois ou mais períodos, auxiliando no monitoramento das suas dinâmicas. O objetivo deste artigo foi analisar a dinâmica de caráter espaço-temporal do Parque Nacional dos Lençóis Maranhenses, mapeando as mudanças do sistema dunário a partir de imagens de satélite, no período de 1984 a 2014. Para esta análise foram utilizadas imagens de satélite adquiridas pelos sensores TM-Landsat 5 e OLI-Landsat 8. A borda limite do parque, na parte interior do continente, foi vetorizada para o ano inicial e final da análise, gerando mapas com o deslocamento das dunas no período de 31 anos o que permitiu identificar as áreas de avanço e retração do sistema dunário. A área total de avanço das dunas foi de 23,69 km² enquanto que a retração apresentou 14,95 km². Identificou-se expansão das dunas do litoral em direção ao interior do continente no sentido nordeste - sudoeste, seguindo a circulação dos ventos alísios. Foram selecionados quatro pontos de observações onde foram monitoradas as mudanças na cobertura do solo a partir da variação anual dos valores de reflectância da superfície na banda do infravermelho próximo, permitindo identificar o tipo de mudança quanto o tempo de ocorrência das mesmas.  A B S T R A C T The multi-temporal analysis allows comparing the same landscape between two or more time periods, assisting in the monitoring of its dynamics. The objective of this study were to analyze the spatio-temporal dynamics of the Parque Nacional dos Lençóis Maranhenses, mapping the changes in the dunes system using satellite imagery, from 1984 to 2014. For this analysis were used satellite images acquired by TM-Landsat 5 and OLI-Landsat 8 sensors. The park boundary, in the inner part of the continent, was vectored for the initial and final year of analysis, generating maps with the changes in the dunes locations in the 31 years period identified the forward areas and retraction and areas. The total area of advancement of dunes was 23.69 km² while the downturn area was 14.95 km². It was identified expansion of coastal dunes toward the interior of the continent towards northeast - southwest, following the movement of trade winds. Were selected four points of observations which were monitored changes in land cover from the annual change of the surface reflectance values in the near infrared band, allowing identify both the type of change and its time of occurrence.Keywords: remote sensing, environmental monitoring, migration of sediment. 

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