scholarly journals Exploring Plantation Development and Land Cover Changes in the Meme-Mungo Corridor of Cameroon

2021 ◽  
Vol 5 (1) ◽  
pp. 15
Author(s):  
Cletus Fru Forba ◽  
Jude Ndzifon Kimengsi
Keyword(s):  
Land Cover ◽  
Sampling Technique ◽  
Systematic Sampling ◽  
Land Cover Changes ◽  
Gis And Remote Sensing ◽  
Multispectral Data ◽  
Tropical Plantations ◽  
Plantation Development ◽  
Plantation Crops

There is an apparent nexus between the development of plantations and changes in landcover. The Meme-Mungo Corridor is an example par excellence of a tropical plantation corridor in Cameroon which has witnessed significant expansion in tropical plantations of cocoa, banana, rubber and oil palm, among others. This paper analyzes the connection between land cover changes and plantation development over a 42-year period (1960 and 2012). A total of 100 households were sampled using the systematic sampling technique. Furthermore, multispectral data, obtained from the Global Land Cover Facility (GLCF, 2005) were used in the classification of the study area. These images were processed using Geographic Information System (GIS) and Remote Sensing (RS) software and further compiled into a GIS database using ESRI ArcGIS software. The results showed that between 1960 and 2012, a more than 50% increase in the surface area of plantation crops was registered, leadingto a corresponding change in the land cover situation. Based on this, the study probed into the implications of further plantation development on land cover; further land cover changes could be attributed to the extension of plantations. This paperrecommends among others, the need for intensive agriculture to be encouraged so as to ensure an increase in agricultural output against the backdrop of a decline in agricultural space. Furthermore, augmenting agro-product value chains will stem the loss of agro-produce due to perishability. This will contribute to regulate extensive plantation development in the area.

scholarly journals Landuse Pattern and Landcover of Akure Forest Reserve and Its Environs

2019 ◽  
pp. 852-861
Author(s):  
O. O. Ojo ◽  
A. A. Shittu ◽  
T. J. Adebolu
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Forest Reserve ◽  
Gis And Remote Sensing ◽  
Forestry Management ◽  
Ondo State ◽  
Cover Class ◽  
Broad Objective

This study investigated the pattern of land use and land cover of forest reserve in Akure, Ondo State, Nigeria. Currently, deforestation constitutes one of the global development challenges. The broad objective of this study is to identify land use and land cover class within the study area using satellite imagery (ies) to determine the rate/trend of change of this Forest Reserve from 1988 to 2018. The research method includes the use of Geographical Positioning System, and processing of field data through GIS and Remote sensing tool (ILWIS). The research was able to identify various land use and land cover within the Akure forest reserve with the help of GIS and remote sensing tools, the boundary of Akure forest reserve and its environs was delineated, and further result of the classification of Landsat shows that as at 2018 the forest reserve is covered with majorly light vegetation with 51.79%. The study recommended that there Department of Forestry and Ministry of Physical Planning and Urban Development must ensure Policy that will encourage local people and institutional participation in forestry management and conservation along with safeguarding indigenous people’s traditional rights and tenure with rightful sharing of benefits.

scholarly journals Perubahan Penutupan Lahan Kota Bogor

2019 ◽  
Vol 2 (1) ◽  
pp. 44-51
Author(s):  
Ina Lidiawati ◽  
Ratna Sari Hasibuan ◽  
Retno Wijayanti
Keyword(s):  
Land Cover ◽  
Rice Field ◽  
Research Result ◽  
Land Cover Changes ◽  
Plantation Forest ◽  
Geospatial Information ◽  
Land Cover Map ◽  
Cover Class ◽  
The City

Pembangunan yang terjadi sangat pesat sehingga tutupan lahan di Kota Bogor berubah. Penelitian ini bertujuan untuk mengetahui tutupan lahan Kota Bogor yang berubah yaitu tahun 1996, 2006, 2016 dan  faktor-faktor yang mempengaruhi tutupan lahan Kota Bogor yang berubah tersebut. Perubahan tutupan lahan Kota Bogor dianalisis menggunakan perangkat lunak Arc.GIS 10.2. Data yang digunakan sebagai bahan analisis adalah peta tutupan lahan Kota Bogor 1996, 2006 dan 2016 dari Kementerian Lingkungan Hidup dan Kehutanan (KLHK) dan peta Rupa Bumi Indonesia (RBI). Hasil dari penelitian ini adalah klasifikasi kelas tutupan lahan hutan tanaman kota Bogor, area terbuka, pelabuhan/bandara, pemukiman/lahan, pertanian kering, pertanian kering, semak, sawah, perkebunan, dan badan air. Pada tahun 1996 tutupan lahan didominasi oleh vegetasi, semak, dan semak-semak. Perubahan tutupan lahan yang paling masif terjadi pada kelas permukiman / tanah dengan luas 6.683 hektar pada tahun 2006 dan 7.532 ha pada tahun 2016. Diperkirakan bahwa luas lahan yang akan dibangun akan terus bertambah seiring dengan pertambahan populasi. Peningkatan populasi menyebabkan lebih banyak ruang untuk perumahan dan berbagai kegiatan, selain kondisi sosial ekonomi dan arah kebijakan pemerintah yang mempengaruhi tutupan lahan kota Bogor menjadi berubah.   Development that occurred in the city of Bogor very rapidly causing land cover changes. This research purpose was to know the change of land cover of Bogor City in 1996, 2006, and 2016 and to know what factors influence the change of land cover. Changes in land cover in Bogor City were analyzed using Arc.GIS software 10.2. The data used as an analysis material were the land cover map of Bogor City 1996, 2006 and 2016 issued by the Ministry of Environment and Forestry and the map of  Rupa Bumi Indonesia issued by the Geospatial Information Agency. This research result was the classification of a land cover class of Bogor city of plantation forest, open area, port/airport, settlement/land, dry farm, dry farm, shrub, rice field, plantation, and water body. In 1996 the land cover was dominated by vegetation, shrubs, and bushes. The most massive land cover change occurred in the class of settlements/land with an area of ​​6,683 hectares in 2006 and 7,532 ha in the year 2016. It is estimated that the area of ​​land will be built will continue to grow as the population increases. The increase in population causes more space for housing and various activities, besides the socio-economic condition and the direction of government policy also affect the change of land cover in Bogor city.

scholarly journals Accuracy Enhancement for Land Cover Classification Using LiDAR and Multitemporal Sentinel 2 Images in a Forested Watershed

Proceedings ◽  
2018 ◽  
Vol 2 (20) ◽  
pp. 1280 ◽  
Author(s):  
Laura Fragoso-Campón ◽  
Elia Quirós ◽  
Julián Mora ◽  
José Antonio Gutiérrez ◽  
Pablo Durán-Barroso
Keyword(s):  
Land Cover ◽  
Vegetation Cover ◽  
Spectral Response ◽  
Vegetation Indices ◽  
Land Cover Classification ◽  
Lidar Data ◽  
Accuracy Enhancement ◽  
Multispectral Data ◽  
Sentinel 2

Mapping land cover with high accuracy has become a reality with the application of current remote sensing techniques. Due to the specific spectral response of the vegetation, soil and vegetation indices are adequate tools to help in the discrimination of land uses. Additionally, the accuracy of satellite imagery classification can be improved using multitemporal series combined with LiDAR data. This datafusion takes advantage of the information provided by LiDAR for the vegetation cover density, and the capability of multispectral data to detect the type of vegetation. The main goal of this study is to analyze the accuracy enhancement in land cover classification of two forested watersheds when using datafusion of annual time series of Sentinel-2 images complemented with low density LiDAR. The obtained results show that overall accuracy is better if LiDAR data is included in the classification. This improvement can be a significant issue in land cover classification of forest watershed due to relationship and influence that vegetation cover has on runoff estimation.

scholarly journals Use of GIS and Remote Sensing Data to Understand the Impacts of Land Use/Land Cover Changes (LULCC) on Snow Leopard (Panthera uncia) Habitat in Pakistan

2021 ◽  
Vol 13 (7) ◽  
pp. 3590
Author(s):  
Tauheed Ullah Khan ◽  
Abdul Mannan ◽  
Charlotte E. Hacker ◽  
Shahid Ahmad ◽  
Muhammad Amir Siddique ◽  
...  
Keyword(s):  
Remote Sensing ◽  
At Risk ◽  
Land Use ◽  
Land Cover ◽  
Human Population ◽  
Land Cover Changes ◽  
Snow Leopard ◽  
Land Use Land Cover ◽  
Gis And Remote Sensing ◽  
Panthera Uncia

Habitat degradation and species range contraction due to land use/land cover changes (LULCC) is a major threat to global biodiversity. The ever-growing human population has trespassed deep into the natural habitat of many species via the expansion of agricultural lands and infrastructural development. Carnivore species are particularly at risk, as they demand conserved and well-connected habitat with minimum to no anthropogenic disturbance. In Pakistan, the snow leopard (Panthera uncia) is found in three mountain ranges—the Himalayas, Hindukush, and Karakoram. Despite this being one of the harshest environments on the planet, a large population of humans reside here and exploit surrounding natural resources to meet their needs. Keeping in view this exponentially growing population and its potential impacts on at-risk species like the snow leopard, we used geographic information systems (GIS) and remote sensing with the aim of identifying and quantifying LULCC across snow leopard range in Pakistan for the years 2000, 2010, and 2020. A massive expansion of 1804.13 km2 (163%) was observed in the built-up area during the study period. Similarly, an increase of 3177.74 km2 (153%) was observed in agricultural land. Barren mountain land increased by 12,368.39 km2 (28%) while forest land decreased by 2478.43 km2 (28%) and area with snow cover decreased by 14,799.83 km2 (52%). Drivers of these large-scale changes are likely the expanding human population and climate change. The overall quality and quantity of snow leopard habitat in Pakistan has drastically changed in the last 20 years and could be compromised. Swift and direct conservation actions to monitor LULCC are recommended to reduce any associated negative impacts on species preservation efforts. In the future, a series of extensive field surveys and studies should be carried out to monitor key drivers of LULCC across the observed area.

scholarly journals Estimate of Changes in Carbon Stocks Based on Land Cover Changes in the Leuser Ecosystem Area (LEA) Indonesia

2016 ◽  
Vol 29 (2) ◽  
pp. 188 ◽  
Author(s):  
Dedi Hermon
Keyword(s):  
Land Cover ◽  
Spatial Model ◽  
Sampling Technique ◽  
Allometric Equation ◽  
Carbon Stocks ◽  
Survey Method ◽  
Land Cover Changes ◽  
Gis Analysis ◽  
Tree Biomass ◽  
Landsat 7

This research aimed at designing the model of land cover changes in 1990 and 2014, and estimating carbon stock changes in each land cover in Leuser Ecosystem Area (LEA). The spatial model of land cover changes was analyzed by interpreting Landsat 5 TM imagery in 1990 and Landsat 7 ETM+ imagery in 2014 with ERDAS 9.1 and Land Change Modeller (LCM) in Idrisi TerrSet v.18. The analysis of land area changes (ha) in each land cover from 1990 to 2014 used ERDAS 9.1 with tools Interpreter (GIS Analysis-Matrix). Systematic survey method was employed in order to analyze carbon stocks. The sampling technique was stratified purposive composite sampling which used plot technique. The estimate of tree biomass used allometric equation. The estimate of carbon stocks in each land cover in 1990 was measured based on the total of carbon stocks in 2014 which was conversed with the areas of each land cover in 1990. Spatial model of land cover changes in LEA in 1990-2014 showed the changes of area in each land cover which caused the changes of carbon stocks in each land cover as well.

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