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Working Paper 2017

Smallholder irrigation schemes in the Limpopo Province, South Africa

Autor: Koppen, Barbara C.M. van Nhamo, Luxon Xueliang Cai Gabriel, M. J. Sekgala, M . Shikwambana, S. Tshikolomo, K. Nevhutanda, S. Matlala, B. Manyama, D.

A survey of 76 public smallholder irrigation schemes in the Limpopo Province was jointly conducted by the International Water Management Institute (IWMI), Department of Agriculture, Forestry and Fisheries (DAFF), South Africa, and the Limpopo Department of Agriculture and Rural Development (LDARD...

Enlace original: https://cgspace.cgiar.org/handle/10568/89495

Investigación en Agricultura

IRRIGATION SCHEMES

SMALL SCALE SYSTEMS

SMALLHOLDERS

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Koppen, Barbara C.M. van , Nhamo, Luxon , Xueliang Cai , Gabriel, M. J. , Sekgala, M . , Shikwambana, S. , Tshikolomo, K. , Nevhutanda, S. , Matlala, B. , Manyama, D. , [Smallholder irrigation schemes in the Limpopo Province, South Africa] , Smallholder irrigation schemes in the Limpopo Province, South Africa

Journal Article 2018

Improving the accuracy of remotely sensed irrigated areas using post-classification enhancement through UAV [Unmanned Aerial Vehicle] capability

Autor: Nhamo, Luxon Dijk, R. van Magidi, J. Wiberg, David Tshikolomo, K.

Although advances in remote sensing have enhanced mapping and monitoring of irrigated areas, producing accurate cropping information through satellite image classification remains elusive due to the complexity of landscapes, changes in reflectance of different land-covers, the remote sensing data...

Enlace original: https://cgspace.cgiar.org/handle/10568/93406

Investigación en Agricultura

IRRIGATED SITES

REMOTE SENSING

UNMANNED AERIAL VEHICLES

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Nhamo, Luxon , Dijk, R. van , Magidi, J. , Wiberg, David , Tshikolomo, K. , [Improving the accuracy of remotely sensed irrigated areas using post-classification enhancement through UAV [Unmanned Aerial Vehicle] capability] , Improving the accuracy of remotely sensed irrigated areas using post-classification enhancement through UAV [Unmanned Aerial Vehicle] capability

Journal Article 2019-11-14

Assessing climate change and adaptive capacity at local scale using observed and remotely sensed data

Autor: Moeletsi, M. Masupha, T. Magidi, J. Tshikolomo, K. Liphadzi, S. Naidoo, D. Mabhaudhi, T. Mpandeli, S. Nhamo, Luxon

Climate variability and change impacts are manifesting through declining rainfall totals and increasing frequency and intensity of droughts, floods and heatwaves. These environmental changes are affecting mostly rural populations in developing countries due to low adaptive capacity and high relia...

Enlace original: https://cgspace.cgiar.org/handle/10568/106731

Investigación en Agricultura

CLIMATE CHANGE ADAPTATION

ASSESSMENT

REMOTE SENSING

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Moeletsi, M. , Masupha, T. , Magidi, J. , Tshikolomo, K. , Liphadzi, S. , Naidoo, D. , Mabhaudhi, T. , Mpandeli, S. , Nhamo, Luxon , [Assessing climate change and adaptive capacity at local scale using observed and remotely sensed data] , Assessing climate change and adaptive capacity at local scale using observed and remotely sensed data

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Smallholder irrigation schemes in the Limpopo Province, South Africa

Improving the accuracy of remotely sensed irrigated areas using post-classification enhancement through UAV [Unmanned Aerial Vehicle] capability

Assessing climate change and adaptive capacity at local scale using observed and remotely sensed data