Aerial imagery for monitoring land use in East African wetland ecosystems

Franke, Jonas; Becker, M.; Menz, Gunter; Misana, Salome; Mwita, Emiliana; Nienkemper, Pamela

doi:10.1109/igarss.2009.5417676

Cited by 8 publications

(8 citation statements)

References 4 publications

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“…Since wetlands offer food security options to farmers and livestock keepers because of availability of water or moisture content that support crop production and growth of pasture, most famers and livestock keepers shifted their attention to wetlands particularly in dry seasons. This argument is supported by [9,22] who also noted that drought conditions especially in semi arid areas have increased pressure on the wetlands for cultivation or search for pasture or fodder.…”

Section: Drivers Of Wetland Use Changementioning

confidence: 87%

Land Cover and Land Use Dynamics of Semi Arid Wetlands: A Case of Rumuruti (Kenya) and Malinda (Tanzania)

Mwita¹

2013

J Geophys Remote Sens

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In Sub-Saharan Africa, wetlands particularly those located in dry areas are intensively used and have caused significant loss of the wetlands and their riparian areas. The uses are intensified because of climate variability and the demand to feed the ever growing population. This paper presents results of assessment of land cover and use change in semi arid floodplains of Rumuruti and Malinda in Kenya and Tanzania respectively. Field survey, unsupervised classification and change vector analysis were used to map the uses and assess the changes. Results show that the wetlands are diversely used, agriculture is one of the main land uses (24-35%); other uses and cover include grazing and shrubs (11-39%), built up area (14%, in Rumuruti), burnt area (7%, in Malinda), forest and natural wetland vegetation (5%) and open water (3%). Significant part of natural vegetation (47.76% in Malinda and 72.60% in Rumuruti) has been converted into farms and other uses and as a consequence some parts of the wetlands have been abandoned due to over use. Anthropogenic factors are the main drivers of the changes. The data generated in this study is seen to contribute in monitoring and management of the particular wetlands.

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Section: Drivers Of Wetland Use Changementioning

confidence: 87%

Land Cover and Land Use Dynamics of Semi Arid Wetlands: A Case of Rumuruti (Kenya) and Malinda (Tanzania)

Mwita¹

2013

J Geophys Remote Sens

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“…However, the light weight makes them more sensitive to turbulence that might affect their performance for aerial photography. 1 Aerial imagery has been used for many applications such as coastal management, 5 monitoring of wetland ecosystems, 6 vegetation mapping, 7 riparian zone impacts estimation 8 and damage assessment after a disaster, 9 such as a strong typhoon. [10][11][12] Development of the UAVs technology leads to operational and cost advantage in comparison to other aerial imagery platforms 1 and realized many commercial applications such as disaster management, 13 traffic monitoring, 14 inspection of industrial facilities 15 and river detection and tracking.…”

Section: Introductionmentioning

confidence: 99%

An Automatic Robust Image Registration Algorithm for Aerial Mapping

Javadi

Kadim

Woon

et al. 2015

Int. J. Image Grap.

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Aerial mapping is attracting more attention due to the development in unmanned aerial vehicles (UAVs) and their availability and also vast applications that require a wide aerial photograph of a region in a specific time. The cross-modality as well as translation, rotation, scale change and illumination are the main challenges in aerial image registration. This paper concentrates on an algorithm for aerial image registration to overcome the aforementioned issues. The proposed method is able to sample automatically and align the sensed images to form the final map. The results are compared with satellite images that shows a reasonable performance with geometrically correct registration.

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“…This has put pressure on arable and protected lands, such as wetlands, for agriculture to support these populations. Small wetlands in East Africa have gained increasing prominence as areas for growing crops, driven largely by diminishing and unreliable rainfall on the one hand and growing population with the attendant demand for land and water for food production [2]. It is therefore necessary to have a good description of the capacity of these wetlands to sustain these pressures through characterization of the land covers, their variability across seasons and the progression of phenology from one season to another.…”

Section: Introductionmentioning

confidence: 99%

Seasonal Vegetation Changes in the Malinda Wetland Using Bi-Temporal, Multi-Sensor, Very High Resolution Remote Sensing Data Sets

Kuria¹,

Menz²,

Misana³

et al. 2014

ARS

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Small wetlands in East Africa have grown in prominence driven by the unreliable and diminished rains and the increasing population pressure. Due to their size (less than 500 Ha), these wetlands have not been studied extensively using satellite remote sensing approaches. High spatial resolution remote sensing approaches overcome this limitation allowing detailed inventorying and research on such small wetlands. For understanding the seasonal variations in land cover within the Malinda Wetland in Tanzania (350 Ha), two periods were considered, May 2012 coinciding with the wet period (rainy season) and August 2012 coinciding with a fairly rain depressed period (substantially dry but generally cooler season). The wetland was studied using very high spatial resolution orthophotos derived from Unmanned Aerial Vehicle (UAV) photography fused with TerraSAR-X Spotlight mode dual polarized radar data. Using these fused datasets, five main classes were identified that were used to firstly delineate seasonal changes in land use activities and secondly used in determining phenology changes. Combining fuzzy maximum likelihood classification, knowledge classifier and Change Vector Analysis (CVA), land cover classification was undertaken for both seasons. From the results, manifold anthropogenic activities are taking place * Corresponding author. D. N. Kuria et al. 34 between the seasons as evidenced by the high conversion rates (63.01 Ha). The phenological change was also highest within the human influence class due to the growing process of cropped land (26.60 Ha). Much of the changes in both cover and phenology are occurring in the mid upper portion of the wetland, attributed to the presence of springs in this portion of the wetland along the banks of River Mkomazi. There is thus seasonality in the observed anthropogenic influence between the wetland and its periphery.

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Aerial imagery for monitoring land use in East African wetland ecosystems

Cited by 8 publications

References 4 publications

Land Cover and Land Use Dynamics of Semi Arid Wetlands: A Case of Rumuruti (Kenya) and Malinda (Tanzania)

Land Cover and Land Use Dynamics of Semi Arid Wetlands: A Case of Rumuruti (Kenya) and Malinda (Tanzania)

An Automatic Robust Image Registration Algorithm for Aerial Mapping

Seasonal Vegetation Changes in the Malinda Wetland Using Bi-Temporal, Multi-Sensor, Very High Resolution Remote Sensing Data Sets

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