Application of Remote Sensing for Monitoring Changes in Natural Ecosystems: Case Studies from Egypt

Halmy, Marwa Waseem A.; Fawzy, Manal; Nasr, Mahmoud

doi:10.1007/978-3-030-39593-3_6

Cited by 6 publications

(3 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Land use/land cover changes (LULCC) are widely evaluated in different parts of the world as a result of increasing socio-economic necessities needed for ever increasing human population ( Hassan et al, 2016 ; Reis, 2008 ; Zhu et al, 2021 ). The LULCC leads to change in vegetation cover and other different components of biodiversity ( Halmy, Fawzy & Nasr, 2020 ; Petrou, Manakos & Stathaki, 2015 ). It is, thus, important to know the extent of LULCC to find out the drivers and their exact impacts on ecological ( e.g ., forest cover) and anthropogenic processes (e.g., cropland and settlement area).…”

Section: Introductionmentioning

confidence: 99%

Land use/land cover changes in the central part of the Chitwan Annapurna Landscape, Nepal

Adhikari

Bhattarai

Rokaya

et al. 2022

PeerJ

View full text Add to dashboard Cite

Background Land use/land cover assessment and monitoring of the land cover dynamics are essential to know the ecological, physical and anthropogenic processes in the landscape. Previous studies have indicated changes in the landscape of mid-hills of Nepal in the past few decades. But there is a lack of study in the Chitwan Annapurna Landscape; hence, this study was carried out to fill in study gap that existed in the area. Methods This study evaluates land use/land cover dynamics between 2000 to 2020 in the central part of the Chitwan Annapurna Landscape, Nepal by using Landsat images. The Landsat images were classified into eight different classes using remote sensing and geographic information system (GIS). The accuracy assessment of classified images was evaluated by calculating actual accuracy, producer’s accuracy, user’s accuracy and kappa coefficient based on the ground-truthing points for 2020 and Google Earth and topographic maps for images of 2010 and 2000. Results The results of land use/land cover analysis of Landsat image 2020 showed that the study area was composed of grassland (1.73%), barren area (1.76%), riverine forest (1.93%), water body (1.97%), developed area (4.13%), Sal dominated forest (15.4%), cropland (28.13%) and mixed forest (44.95%). The results of land cover change between 2000 to 2020 indicated an overall increase in Sal dominated forest (7.6%), developed area (31.34%), mixed forest (37.46%) and decrease in riverine forest (11.29%), barren area (20.03%), croplands (29.87%) and grasslands (49.71%). The classification of the images of 2000, 2010 and 2020 had 81%, 81.6% and 84.77% overall accuracy, respectively. This finding can be used as a baseline information for the development of a proper management plan to protect wildlife habitats and forecasting possible future changes, if needed.

show abstract

Section: Introductionmentioning

confidence: 99%

Land use/land cover changes in the central part of the Chitwan Annapurna Landscape, Nepal

Adhikari

Bhattarai

Rokaya

et al. 2022

PeerJ

View full text Add to dashboard Cite

show abstract

“…LULC change is a crucial factor responsible for environmental transformation regionally and globally (Ketema et al, 2020;Xiao et al, 2006). Changes in LULC can be monitored by conventional techniques and satellite remote sensing (provides a large amount of data on a global and regional scale) (Halmy et al, 2020). Remote sensing and GIS are powerful tools for assessing spatiotemporal LULC changes (Kulkarni et al, 2020;Shen et al, 2020;Xiao et al, 2006).…”

mentioning

confidence: 99%

Land use and Cover Changes in the Northern Mountains of Pakistan; A Spatio-Temporal Change using MODIS (MCD12Q1) Time Series

Ahmad¹,

Israr²,

Ahmed³

et al. 2022

SJA

View full text Add to dashboard Cite

P lanning for sustainable economic, social, environmental, and land resources are critical because of population growth and global climate change (Ashraf, 2020;Matin et al., 2019). Due to the enormous burden of agriculture and urbanization, various human activities are underway to use the earth's natural re-sources, which are decreasing rapidly. Therefore, remote sensing satellite data are shown to be very useful for the analysis and mapping of land cover (Lasko et al., 2018;Levizzani et al., 2019). Even if the resulting spatial dataset has different resolutions, this change can be monitored using a GIS approach (Giuliani et al., 2020;Munsi et al., 2010). It is essential to fill in the literature about land use and land cover changes Abstract | In the sustainable management of natural resources, land use and land cover (LULC) changes play an essential role. Pakistan is rich in biodiversity and provides ecosystem services to the country's population, especially the mountains of the northern highland. These areas have experienced extensive depletion of ecosystem services and are susceptible to fast LULC changes. Real-time monitoring and assessment based on spatio-temporal are important to know such LULC changes. This study examines LULC in the northern mountains of Pakistan from MODIS (MCD12Q1) time series from 2001 to 2018. LULC was classified into ten significant classes. Findings of the data revealed that shrublands (0.33-0.17%), grasslands (45.83-41.74), and cropland (12.71-10.47) were decreased significantly. At the same time, savannas, permanent wetlands, urban and built-up lands, natural vegetation, permanent snow and ice, and barren lands increased substantially over the entire period. Due to the lack of baseline data, the LULC map will play an essential role in the sustainable management of LULC in the Hindu Kush, Karakoram and Himalayan regions of Pakistan. For the sustainable maintenance of the mountainous ecosystem, comprehensive research is recommended about these LULC vulnerabilities locally and regionally.

show abstract

“…Globally accurate and updated information about LULC changing is essential to assess and understand such changes (Giri and Qiu, 2016). LULC types changes can be monitored through traditional surveys and satellite remote sensing (Halmy et al, 2020). Remote sensing (RS) and geographic information system (GIS) are powerful tools to assess the spatiotemporal LULC changes (Kulkarni et al, 2020).…”

mentioning

confidence: 99%

Two-decade Spatio-temporal Land Use and Cover Changes in District Shangla of Khyber Pakhtunkhwa, Pakistan

Ahmad¹,

Israr²,

Amin³

et al. 2021

SJA

View full text Add to dashboard Cite

L and use land cover (LULC) has become one of the major issues in sustainable development and global environmental changes (Alam et al., 2019;Yirsaw et al., 2017). LULC describes the land environment associated with anthropogenic activities, planning for sustainable environmental, social, and economic development, and lack of land and land resources due to global climate change and population strength (Ashraf, 2020;Matin et al., 2019). Changes in land cover are affected by social and natural factors (Kweyu et al., 2020). Many studies showed that social, economic, and climate change significantly impact LULC and the ecosystem (Hao et al., 2019;Liu et al., 2019).Abstract | Changes in land use land cover (LULC) play a vital role in developing and sustainable management of natural resources. The northern mountains of Khyber Pakhtunkhwa-Pakistan are rich in biodiversity and provide fragmented and fragile ecosystem services while vulnerability to the rapid changes in LULC with irreversible impacts on ecosystems, especially in district Shangla. Real-time monitoring and assessment are essential to understand such changes in LULC. In the current study, spatio-temporal changes of LULC were obtained from MODIS (MCD12Q1) product from 2001-2018 to examine LULC in the district Shangla of Khyber Pakhtunkhwa-Pakistan. LULC types were classified into seven major classes: evergreen forest, savannas, grasslands, permanent wetlands, croplands, natural vegetation, and barren land. The result indicated that grasslands (17.04-12.84%) and cropland (34.73-18.12%) decreased significantly due to over population pressure coupled by natural hazards, while savannas (40.63-49.25%), permanent wetlands (0.03-0.07%), and natural vegetation (3.13-14.96%), were increased significantly as a result of the different internations for the conservations in the area. As a result, the development of LULC maps will play a vital role in sustainable management of LULC in northern Pakistan due to the lack of ground and reliable data towards the targets of sustainable development goals in the area.

show abstract

Application of Remote Sensing for Monitoring Changes in Natural Ecosystems: Case Studies from Egypt

Cited by 6 publications

References 30 publications

Land use/land cover changes in the central part of the Chitwan Annapurna Landscape, Nepal

Land use/land cover changes in the central part of the Chitwan Annapurna Landscape, Nepal

Land use and Cover Changes in the Northern Mountains of Pakistan; A Spatio-Temporal Change using MODIS (MCD12Q1) Time Series

Two-decade Spatio-temporal Land Use and Cover Changes in District Shangla of Khyber Pakhtunkhwa, Pakistan

Contact Info

Product

Resources

About