Hybrid Classification of Landsat Data for Land Cover Changes Analysis of the Halabja City, Iraq

2013 ◽  
Author(s):  
Jwan Al-Doski ◽  
Shattri B. Mansor ◽  
Helmi Zulhaidi Mohd Shafri
Keyword(s):  
Land Cover ◽  
Land Cover Changes ◽  
Landsat Data ◽  
Hybrid Classification

scholarly journals Are There Sufficient Landsat Observations for Retrospective and Continuous Monitoring of Land Cover Changes in China?

2019 ◽  
Vol 11 (15) ◽  
pp. 1808 ◽  
Author(s):  
Zhou ◽  
Dong ◽  
Liu ◽  
Metternicht ◽  
Shen ◽  
...  
Keyword(s):  
Land Cover ◽  
Retrospective Analysis ◽  
Continuous Monitoring ◽  
Google Earth ◽  
Data Availability ◽  
Land Cover Changes ◽  
Similar Data ◽  
Landsat Data ◽  
Management Interventions ◽  
Land Cover Dynamics

Unprecedented human-induced land cover changes happened in China after the Reform and Opening-up in 1978, matching with the era of Landsat satellite series. However, it is still unknown whether Landsat data can effectively support retrospective analysis of land cover changes in China over the past four decades. Here, for the first time, we conduct a systematic investigation on the availability of Landsat data in China, targeting its application for retrospective and continuous monitoring of land cover changes. The latter is significant to assess impact of land cover changes, and consequences of past land policy and management interventions. The total and valid observations (excluding clouds, cloud shadows, and terrain shadows) from Landsat 5/7/8 from 1984 to 2017 were quantified at pixel scale, based on the cloud computing platform Google Earth Engine (GEE). The results show higher intensity of Landsat observation in the northern part of China as compared to the southern part. The study provides an overall picture of Landsat observations suitable for satellite-based annual land cover monitoring over the entire country. We uncover that two sub-regions of China (i.e., Northeast China-Inner Mongolia-Northwest China, and North China Plain) have sufficient valid observations for retrospective analysis of land cover over 30 years (1987–2017) at an annual interval; whereas the Middle-Lower Yangtze Plain (MLYP) and Xinjiang (XJ) have sufficient observations for annual analyses for the periods 1989–2017 and 2004–2017, respectively. Retrospective analysis of land cover is possible only at a two-year time interval in South China (SC) for the years 1988–2017, Xinjiang (XJ) for the period 1992–2003, and the Tibetan Plateau (TP) during 2004–2017. For the latter geographic regions, land cover dynamics can be analyzed only at a three-year interval prior to 2004. Our retrospective analysis suggest that Landsat-based analysis of land cover dynamics at an annual interval for the whole country is not feasible; instead, national monitoring at two- or three-year intervals could be achievable. This study provides a preliminary assessment of data availability, targeting future continuous land cover monitoring in China; and the code is released to the public to facilitate similar data inventory in other regions of the world.

scholarly journals Impact of spatiotemporal land-use and land-cover changes on surface urban heat islands in a semiarid region using Landsat data

2020 ◽  
pp. 1-21
Author(s):  
Ehsan Kamali Maskooni ◽  
Hossein Hashemi ◽  
Ronny Berndtsson ◽  
Peyman Daneshkar Arasteh ◽  
Mohammad Kazemi
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Urban Heat Islands ◽  
Semiarid Region ◽  
Land Cover Changes ◽  
Landsat Data ◽  
Heat Islands ◽  
Urban Heat

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 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 Mapping and classification of crops using high resolution satellite image

2018 ◽  
Vol 10 (3) ◽  
pp. 818-825
Author(s):  
R Jagadeeswaran ◽  
A Poornima ◽  
R Kumaraperumal
Keyword(s):  
Land Cover ◽  
Tamil Nadu ◽  
Satellite Image ◽  
Unsupervised Classification ◽  
Land Use Land Cover ◽  
Multiple Cropping ◽  
Error Matrix ◽  
Hybrid Classification ◽  
Crop Area

In the present study an attempt was made to perform land use land cover classification at Level-III in order to discriminate and map individual crops. IRS Resources at 2 LISS IV sensor imagery (5.0 m spatial resolution) of September 2014 was utilized for the study. A hybrid classification approach of unsupervised classification followed by supervised classification was adopted to identify and map the crop area in Kodumudi block, Erode district of Tamil Nadu. Signature evaluation was carried out to study the class separability and through cross tabulation and the accuracy was assessed by error matrix. The signature separability analysis to classify various land cover classes indicated that the class viz., waterbody, settlement, sandy area and fallow land were better and for vegetation sub-classes viz., individual crops were poor, which means classification of individual crops was a challenge. The overall accuracy with three different algorithms varied from 56 to 65 per cent and this low accuracy was due to the problem in discriminating the tonal variation and spectral pattern of individual crops in the study area. Thus, classification of vegetation categories into individual crops using LISS IV data resulted in moderate classification accuracy in areas with multiple cropping.

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