{"id":247,"date":"2021-04-08T18:03:48","date_gmt":"2021-04-08T17:03:48","guid":{"rendered":"https:\/\/staging.eo4sas.com\/?page_id=247"},"modified":"2021-05-28T15:23:17","modified_gmt":"2021-05-28T14:23:17","slug":"case-studies","status":"publish","type":"page","link":"https:\/\/eo4sas.com\/index.php\/case-studies\/","title":{"rendered":"Case Studies"},"content":{"rendered":"

The following link will take you to 3 interactive Case Studies<\/p>\n

EO4SAS Interactive Case Studies<\/a><\/p>\n

The case studies are hosted on “Voila” and implemented in Jupyter notebooks in the Cloud (there is no need to install anything on your computer).\u00a0 Please note that the case studies take several seconds to load as they pre-process the relevant data to allow you to interact with it!<\/p>\n

The case studies themselves are straightforward to use; the following paragraphs describe what each case study is showing.<\/p>\n

Case Study 1: Investigating Areas Around Sand Dams to Understand Sand Occurrence & Vegetation Health<\/span><\/b>\u00a0<\/span><\/p>\n

S<\/span>and is extracted from the riverbeds of\u00a0<\/span>Kenya\u2019s semi-arid and arid areas<\/span>,<\/span>\u00a0particularly to the s<\/span>outh and east of<\/span>\u00a0Nairobi<\/span>, to support the construction industry.\u00a0<\/span>This extraction\u00a0<\/span>has the potential\u00a0<\/span>to\u00a0<\/span>cause<\/span>\u00a0adverse effects to the surrounding environment if too much is extracted, or the extraction itself is<\/span>\u00a0harmful, e.g., by reducing\u00a0<\/span>biodiversity.\u00a0<\/span>\u00a0<\/span><\/p>\n

This case study focuses on sand dams for an area covering approximately 50 km x 100 km,\u00a0<\/span>including<\/span>\u00a0the intersection between Kitui, Machakos and Makueni<\/span>, using the free-to-access Copernicus EO<\/span>\u00a0satellite data to develop a land classification model<\/span>\u00a0using a pre-trained Neural Network\u00a0<\/span>m<\/span>odel<\/span>.\u00a0<\/span>It uses \u2018snapshots\u2019 dates from\u00a0<\/span>November<\/span>\u00a02019 to\u00a0<\/span>December<\/span>\u00a02020<\/span>, selected\u00a0<\/span>due to their relatively low cloud coverage, a<\/span>nd allows<\/span>\u00a0seasonal changes to be observed during the year, i.e., the influence of the wet and dry seasons<\/span>.<\/span>\u00a0<\/span><\/p>\n

Case Study 2: On-land Sand Extraction<\/span><\/b>\u00a0<\/span><\/b>\u00a0<\/span><\/p>\n

Sand dams are not the only type of sand extraction taking place in Kenya, and Case Study 2 focuses on the on-land extraction of historic sand deposits rather than the extraction of sand flowing down rivers. The chosen location is Nakuru county<\/span>,<\/span>\u00a0with sites in Nakuru and north of Bahati being known extraction sites;<\/span>\u00a0t<\/span>he northern site is surrounded by fields and trees, while the eastern site is surrounded by housing.<\/span><\/p>\n

T<\/span>his\u00a0<\/span>Case Study used additional<\/span>\u00a0satellite sensors and data to Case Study 1<\/span>:<\/span>\u00a0<\/span><\/p>\n