Spatio-temporal dynamics of land use on the expansion of coffee agroforestry systems in Cameroons production basins

The dynamics of land use/land cover (LU/LC) is a manifestation of the cyclic correlation among the kind and magnitude of causes, impacts, responses and resulting ecological processes of the ecosystem. Thus, the holistic understanding of the complex mechanisms that control LU/LC requires synergetic adoption of measurement approaches, addressing issues, and identifying drivers of change and state of art technologies for mitigation measures. As the spatio-temporal heterogeneity of the LU/LC increases, its impact on biodiversity becomes even more difficult to anticipate. Thus, in order to understand the spatio-temporal dynamics of change in landscape and its relationship to biodiversity, it is necessary to reliably identify and quantify the indicators of change. In addition, it is also important to have better understanding of the technologies and techniques that serve as complimentary tool for land mitigation and conservation planning. Against this background, the chapter aims to synthesize LU/LC studies worldwide and their impacts on biodiversity. This chapter explores identification and analysis of key natural, socio-economic and regulatory drivers for LU/LC. Finally, it attempts to collate some LU/LC studies involving usage of geospatial tools, such as satellite remote sensing, Geographic Information System (GIS), Global Positioning System (GPS), and integrative tools, besides conventional approaches that could assist decision makers, land managers, stakeholders and researchers in better management and formulation of conservation strategies based on scientific grounds.

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Analysis of spatio-temporal dynamics of land use and cover changes in Western Kenya

Geocarto International ◽

10.1080/10106049.2019.1608594 ◽

2019 ◽

pp. 1-16 ◽

Cited By ~ 3

Author(s):

Benjamin Kipkemboi Kogo ◽

Lalit Kumar ◽

Richard Koech

Keyword(s):

Land Use ◽

Temporal Dynamics ◽

Western Kenya ◽

Spatio Temporal ◽

Land Use And Cover

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Spatio-temporal analysis of land use changes using remote sensing in Horqin sandy land, China

Sensor Review ◽

10.1108/sr-04-2019-0089 ◽

2019 ◽

Vol 39 (6) ◽

pp. 844-856

Author(s):

Zhenzhen Zhao ◽

Jiandi Feng

Keyword(s):

Land Use ◽

Land Use Change ◽

Water Body ◽

Temporal Dynamics ◽

Horqin Sandy Land ◽

Sandy Land ◽

Gis Technology ◽

Construction Land ◽

Content Type ◽

Spatio Temporal

Purpose The purpose of this paper is to analyze the characteristics of spatio-temporal dynamics and the evolution of land use change is essential for understanding and assessing the status and transition of ecosystems. Such analysis, when applied to Horqin sandy land, can also provide basic information for appropriate decision-making. Design/methodology/approach By integrating long time series Landsat imageries and geographic information system (GIS) technology, this paper explored the spatio-temporal dynamics and evolution-induced land use change of the largest sandy land in China from 1983 to 2016. Accurate and consistent land use information and land use change information was first extracted by using the maximum likelihood classifier and the post-classification change detection method, respectively. The spatio-temporal dynamics and evolution were then analyzed using three kinds of index models: the dynamic degree model to analyze the change of regional land resources, the dynamic change transfer matrix and flow direction rate to analyze the change direction, and the barycenter transfer model to analyze the spatial pattern of land use change. Findings The results indicated that land use in Horqin sandy land during the study period changed dramatically. Vegetation and sandy land showed fluctuating changes, cropland and construction land steadily increased, water body decreased continuously, and the spatial distribution patterns of land use were generally unbalanced. Vegetation, sandy land and cropland were transferred frequently. The amount of vegetation loss was the largest. Water body loss was 473.6 km2, which accounted for 41.7 per cent of the total water body. The loss amount of construction land was only 1.0 km2. Considerable differences were noted in the rate of gravity center migration among the land use types in different periods, and the overall rate of construction land migration was the smallest. Moreover, the gravity center migration rates of the water body and sandy land were relatively high and were related to the fragile ecological environment of Horqin sandy land. Originality/value The results not only confirmed the applicability and effectiveness of the combined method of remote sensing and GIS technology but also revealed notable spatio-temporal dynamics and evolution-induced land use change throughout the different time periods (1983-1990, 1990-2000, 2000-2010, 2010-2014, 2014-2016 and 1983-2016).

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Spatio-temporal dynamics in the flood exposure due to land use changes in the Alpine Lech Valley in Tyrol (Austria)

Natural Hazards ◽

10.1007/s11069-012-0280-8 ◽

2012 ◽

Vol 68 (3) ◽

pp. 1243-1270 ◽

Cited By ~ 43

Author(s):

Holger Cammerer ◽

Annegret H. Thieken ◽

Peter H. Verburg

Keyword(s):

Land Use ◽

Temporal Dynamics ◽

Land Use Changes ◽

Flood Exposure ◽

Spatio Temporal

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Spatio–Temporal Dynamics of Land Use/Cover around a Thermal Power Plant in Singrauli District, Madhya Pradesh, India

IOSR Journal of Applied Geology and Geophysic ◽

10.9790/0990-0504010813 ◽

2017 ◽

Vol 05 (04) ◽

pp. 08-13

Author(s):

Maya Kumari ◽

Kiranmay Sarma

Keyword(s):

Land Use ◽

Power Plant ◽

Thermal Power Plant ◽

Temporal Dynamics ◽

Thermal Power ◽

Madhya Pradesh ◽

Spatio Temporal

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Analysis of Spatio-Temporal Dynamics of Land Use in the Bouba Ndjidda National Park and Its Adjacent Zone (North Cameroun)

Open Journal of Forestry ◽

10.4236/ojf.2020.101004 ◽

2020 ◽

Vol 10 (01) ◽

pp. 39-57

Author(s):

Boukeng José Elvire Djiongo ◽

André Desrochers ◽

Marie Louise Tiencheu Avana ◽

Damase Khasa ◽

Louis Zapfack ◽

...

Keyword(s):

Land Use ◽

National Park ◽

Temporal Dynamics ◽

Spatio Temporal

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Contribution à l’étude de la vulnérabilité des terres de cultures de la région de Thiès (Sénégal) à l’aide de la télédétection et des systèmes d’information géographique (SIG)

Journal of Animal & Plant Sciences ◽

10.35759/janmplsci.v41-1.1 ◽

2019 ◽

pp. 6731-6746 ◽

Cited By ~ 1

Author(s):

Amadou SALL ◽

Assize TOURE ◽

Alioune KANE ◽

Awa Niang Fall

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Cover ◽

Temporal Dynamics ◽

Remote Sensing And Gis ◽

Cultivated Land ◽

Landsat Images ◽

Systèmes D’Information Géographique ◽

Spatio Temporal ◽

Systèmes D’Information

L’objectif de cette étude est d’établir à partir de la télédétection et des SIG, la dynamique spatio-temporelle des terres de cultures et d’explorer les futurs possibles de l’occupation du sol dans trois communes rurales de la région de Thiès (Fandène, Notto Diobass et Taiba Ndiaye). Une classification multidate des images landsat (1988, 2002 et 2014) a permis de quantifier les changements d’occupation des terres. Les résultats montrent que les zones de culture de Fandène sont passées entre 1988 et 2014 de 62% à 52% de la superficie totale de la commune. A l’opposée la commune de Taiba Ndiaye connait une expansion des zones de culture entre ces deux dates. Les changements enregistrés à Notto sont négligeables. Les simulations, faites sur la base des probabilités pour que la valeur d’une cellule i reste inchangée ou prenne la valeur d’une autre cellule j à l’horizon 2035, révèlent que les terres de culture de Fandène ont 69% de probabilité d’évoluer vers d’autres classes d’occupation du sol. ABSTRACT The objective of this study is to quantify from remote sensing and GIS the spatio temporal dynamics of cultivated land and explore possible futures of land use in three rural municipalities of Thies (Fandene, Notto Diobass, and Taiba Ndiaye). A multidate classification Landsat images (1988, 2002 et 2014) was used to quantify change in land cover. The results show that between 1988 and 2014 Fandene cropping areas have passed from 62% to 52% of the total area. At the opposite the commune of Taiba Ndiaye has known an expansion of cropping areas between these two dates. Minor changes are noted in Notto district. Simulations carried out on the basis of probabilities for a unit i to stay in the same cell or to be converted to another unit j in 2035, reveals that the probability for a cultivated land unit to be transformed into a another land cover category is high in Fandene (69 %).

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Dynamique spatio-temporelle de l’occupation des sols des communes de Torodi, Gothèye et Tagazar de la région de Tillabéry au Niger

International Journal of Biological and Chemical Sciences ◽

10.4314/ijbcs.v14i3.24 ◽

2020 ◽

Vol 14 (3) ◽

pp. 949-965

Author(s):

Ibrahim Biga ◽

Abdou Amani ◽

Idrissa Soumana ◽

Mourtala Bachir ◽

Ali Mahamane

Keyword(s):

Land Use ◽

Temporal Dynamics ◽

Landsat Images ◽

Entire Study ◽

Energy Wood ◽

Spatio Temporal ◽

Sentinel 2A ◽

Bodies Of Water ◽

Entire Study Area ◽

Land Use Maps

L’homme à travers ses actions dénature fortement l’occupation des sols engendrant une modification du milieu naturel. Cet impact rend la nécessité de fournir aux autorités communales les cartes d’occupations des sols et des informations relatives à leurs état et dynamique. C’est dans cette optique qu’une étude de l’occupation des sols a été conduite dans trois communes de l’Ouest Nigérien. Elle a pour objectif de cartographier et d’analyser la dynamique de l’occupation des sols de ces communes à partir des images Landsat de 1984 et 2000 et celles de sentinelle 2A de 2017. La classification supervisée par maximum de vraisemblance a été appliquée et la dynamique a été analysée à partir des courbes et des calculs de superficies. Les résultats cartographiques ont permis l’établissement des cartes d’occupation des sols par commune. L’analyse de la dynamique de l’occupation des sols montre que les superficies des formations végétales et les jachères régressent sur l’ensemble de la zone d’étude. Les cultures et bâtis progressent respectivement de 180,96% et 119, 81% à Torodi, 65,69% et 205,42% à Tagazar et 98,82% et 143,15% à Gothèye. IL en est de même pour les zones dégradées et les plans d’eau qui connaissent des progressions et des régressions sur l’ensemble de la zone d’étude. Les L’agriculture, l’exploitation du bois d’énergie et la démographie sont les principaux facteurs de dégradation et de mutation du paysage. Ces résultats peuvent servir de base pour définir les zones prioritaires en vue de la restauration des zones dégradées et l’aménagement des formations naturelles.Mots clés : Télédétection, SIG, Cartographie, dégradation. English Title: Spatio-temporal dynamics of the land use of Torodi, Gothèye and Tagazar township in the Tillabery region of NigerMan through his actions strongly distorts the use of land, causing a change in the natural environment. This impact makes it necessary to provide municipalities with land use maps and information relating to their condition and dynamics. It is with this in mind that a study of land use was carried out in three communes in western Niger. Its objective is to map and analyze the dynamics of the land use of these municipalities from the Landsat images of 1984 and 2000 and those of sentinel 2A from 2017. The supervised classification by maximum likelihood was applied and the dynamics was analyzed from curves and area calculations. The cartographic results made it possible to draw up land use maps by municipality. Analysis of the dynamics of land use shows that the areas of plant formations and fallows are declining over the entire study area. Crops and buildings rose respectively by 180.96% and 119, 81% in Torodi, 65.69% and 205.42% in Tagazar and 98.82% and 143.15% in Gothèye. The same is true for degraded areas and bodies of water which are experiencing increases and regressions over the entire study area. Agriculture, the exploitation of energy wood and demography are the main factors of degradation and mutation of the landscape. These results could serve as a basis for defining priority intervention areas for the restoration of degraded areas and the management of agroforestry forests and parks. Keywords: Remote sensing, GIS, Cartography, degradation.

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