Spatial dynamics of cropland and cropping pattern change analysis using landsat TM and IRS P6 LISS III satellite images with GIS

Rahman, Md. Rejaur; Saha, Sudip

doi:10.1007/s11806-009-0249-2

Cited by 31 publications

(7 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Understanding the dynamics of forest loss is critical for the planning and protection of biodiversity [21] [22]. Insights into patterns, rates, and trends of landscape changes are necessary to realize forest dynamics, enable preservation, and evaluate the effectiveness of management approaches [22] [23]. Land cover changes may result from human-induced land use changes or natural processes, i.e.…”

Section: Introductionmentioning

confidence: 99%

Assessing and Predicting Changes in the Status of Gambari Forest Reserve, Nigeria Using Remote Sensing and GIS Techniques

Adedeji¹,

Tope-Ajayi²,

Abegunde³

2015

JGIS

View full text Add to dashboard Cite

Rapid population growth and increasing economic activities have resulted in unsustainable exploitation and rapid decline in the spatial extent of forest reserves in Nigeria. Studying land use dynamics of these forest reserves is essential for analysing various ecological and developmental consequences over time. Land use/land cover mapping, change detection and prediction are essential for decision-making and implementing appropriate policy responses relating to land uses. This paper aims at assessing and predicting changes in land use/land cover at Gambari forest reserve, Nigeria using remote sensing and GIS techniques. The study determined the magnitude, rate and dynamics of change in the spatial extent of the forest reserve between 1984 and 2014 using multi-temporal datasets (Landsat TM 1984 and 2000 and OLI/TIRS 2014). The imageries were classified using ArcGIS 10.0 version with support of ground truth data and Land use Change Modeller (LCM) and Markovian processes were employed to analyse the pattern and trend of change. Prediction of 2044 scenario carried out using neural network, which is a built-in module in the Idrisi. The study revealed dramatic decline in the extent of the forest reserve as both the plantation of exotic tree species (Tectona grandis and Gmelina) and the indigenous stands have been logged in several places for timber and to make way for cultivation of crops. In addition, pressures from other land uses like settlements have also led to increased non-forest uses particularly bare grounds. The study concluded that increasing loss of the indigenous forest and plantation would continue thus having implications for biodiversity conservation in the study area. There is the need for participation of different stakeholders and sectors to solve conflicting demands on limited forest resources and ensure ecosystem integrity.

show abstract

Section: Introductionmentioning

confidence: 99%

Assessing and Predicting Changes in the Status of Gambari Forest Reserve, Nigeria Using Remote Sensing and GIS Techniques

Adedeji¹,

Tope-Ajayi²,

Abegunde³

2015

JGIS

View full text Add to dashboard Cite

show abstract

“…Spatial technologies, including geographic information system (GIS) and numerical modeling techniques, have emerged as highly effective tools for conducting ecological and environmental assessments. These technologies enable comprehensive analysis and evaluation of spatial data, facilitating a deeper understanding of ecological processes and environmental dynamics (Krivtsov, 2004;Rahman & Saha, 2007;Rahman & Saha, 2008;Rahman & Saha, 2009;Rahman et al, 2014;Rahman et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Analysis of Rainfall and Temperature Trends of Bangladesh during 1989 to 2019 and the Possible Impacts of Rainfall and Temperature Changes

Sutradhar,

Dey,

Rahman

et al. 2023

Int. J. Res. Publ. Rev.

View full text Add to dashboard Cite

This paper analyzed the temperature and rainfall data series of 35 meteorological stations distributed throughout Bangladesh over 30 years (1989 to 2019) to present the trend and time series analysis of these climatic variables. Also, the possible impacts of temperature and rainfall changes on different sectors are discussed here.Statistical methods like the Mann Kendall test and Sen's slope test were used to detect trend variation in temperature and rainfall patterns. Maps were generated using Geographical Information System (GIS) to visually represent the magnitude of change observed in the study. The result shows a change of mean temperature in Bangladesh with an upward trend (0.25 °C per decade) in the pre-monsoon season. The southern, south central and southeastern areas like, Patuakhali (0.47°C per decade), Sandwip (1.0°C per decade), Khepupara (0.73°C per decade), Syedpur (1.1°C per decade), Faridpur (0.8°C per decade), Teknaf (0.8°C per decade), Hatia (1.12°C per decade) and Chandpur (0.47°C per decade) are found to be prone to increase of maximum temperature in all seasons. The highest upward trend in minimum temperature is observed in the northwestern, northeastern, central and southern parts of Bangladesh like, Chittagong (0.65°C per decade), Barisal (0.4°C per decade), Srimangal (1.05°C per decade), Dhaka (0.54°C per decade) and Bogra (0.42°C per decade). Southern areas like Sandwip (34 mm/year) and Chittagong (24 mm/year) has faced maximum increase in rainfall amount in monsoon and pre monsoon seasons. Decrement of rainfall is mostly faced by central regions, like Madaripur (-17.55 mm/year) and Faridpur (-12.28 mm/year) throughout monsoon and winter seasons. But in post monsoon season, these two stations have faced an exceptionally higher increment of rainfall which is almost 32.75 mm/year and 32.38 mm/year respectively.

show abstract

“…In recent, Shahidullah et al, (2017), were observed the changes in multiple crop practices over 42 Upazilas of Chittagong region in 2016 using pre-tested semistructured questionnaire with a specific view to document the existing cropping patterns, cropping intensity and crop diversity. Moreover, Rahman and Saha (2009) conducted study in Bogra district (western part of Bangladesh) to map seasonal crop land considering Landsat TM, and IRS P6 LISS-3 satellite images from 1988/89 to 2004/05 time periods using objectbased classification. However, in recent, LULC changes was observed in transformation of significant parts of the Hathazari Upazila and its quantitative assessment from 1977-2017 using Landsat MSS, TM and OLI satellite imageries (Bhuiyan et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Agricultural crop pattern mapping and change analysis at a sub-district level in South-eastern region, Bangladesh using Landsat satellite data from 2010 to 2019

Nath

Hossain

Majumder³

2022

JAEID

View full text Add to dashboard Cite

The study first time identified and analyzed winter season agricultural crop patterns (ACP) derived from Land use (LU) maps in between 2010 to 2019 of south-eastern regions of Chittagong, Bangladesh. ACP identification was a challenging task in the worldwide research relevant to crop-related studies. To overcome this, we have considered frequently used traditional unsupervised classifier, such as K-means clustering algorithm technique. This has been applied on 30m pixel Landsat satellite reflectance images to identify crop pattern of the study area using the ENVI 5.3 and ArcGIS 10.8 software’s, respectively. Multiple crops with seven classes were identified with the validation of in-situ ground-truth data and Google Earth (GE) images. The overall accuracy and kappa coefficient values were found at 81.96% and 0.79, respectively. The results suggest a significant variation of crop patterns in the study area and in recent time, the area largely dependent on mixed irrigation approach. Moreover, the crop pattern change was observed in the studied period as mixed crop 19% (9282.17 ha), Lentils (Pelon) 24.80% (11594.38 ha), Melon (Bangi) 22.37% (10461.08 ha), Chilis 17.90% (8367.48 ha), Paddy rice, unused land, and other crops, respectively. Among them, Lentils (Pelon) and Melon (Bangi) are identified as two common crops followed by mixed crops category, cultivated in the winter season as it required less irrigation compared to paddy rice area

show abstract

Spatial dynamics of cropland and cropping pattern change analysis using landsat TM and IRS P6 LISS III satellite images with GIS

Cited by 31 publications

References 13 publications

Assessing and Predicting Changes in the Status of Gambari Forest Reserve, Nigeria Using Remote Sensing and GIS Techniques

Assessing and Predicting Changes in the Status of Gambari Forest Reserve, Nigeria Using Remote Sensing and GIS Techniques

Spatial and Temporal Analysis of Rainfall and Temperature Trends of Bangladesh during 1989 to 2019 and the Possible Impacts of Rainfall and Temperature Changes

Agricultural crop pattern mapping and change analysis at a sub-district level in South-eastern region, Bangladesh using Landsat satellite data from 2010 to 2019

Contact Info

Product

Resources

About