Ghana imagery and land cover data

+ Follow new data

8 datasets about imagery and land cover in Ghana.

Kanvilli South West 2

satellite imagery by SDI, acquired 2026-09-17 to 2026-09-18, 5.0 cm per pixel, published on OpenAerialMap.

Imagery and land cover · SDI
Kanvilli South West

uav imagery by SDI, acquired 2026-09-17 to 2026-09-17, 5.0 cm per pixel, published on OpenAerialMap.

Imagery and land cover · SDI
Jisonayili-NORRIP Sep 2026

uav imagery by SDI, acquired 2026-09-15 to 2026-09-17, 5.0 cm per pixel, published on OpenAerialMap.

Imagery and land cover · SDI
Tamale Jisonayili

satellite imagery by SDI, acquired 2026-09-13 to 2026-09-13, 5.0 cm per pixel, published on OpenAerialMap.

Imagery and land cover · SDI
Asuopri Orthophotos

uav imagery by Western North LUSPA RCC, acquired 2025-06-26 to 2025-06-26, 4.4 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Western North LUSPA RCC
Essam-Debiso

satellite imagery by Western North LUSPA Directorate, Ghana, acquired 2025-06-23 to 2025-06-26, 20.0 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Western North LUSPA Directorate, Ghana
Kwamebikrom

uav imagery by Western North LUSPA RCC, acquired 2025-06-26 to 2025-06-26, 45.0 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Western North LUSPA RCC
Satellite detected water extent over Greater Accra & Volta Region, Ghana as of 23 October 2023

**UNOSAT code FL20231018GHA** This map illustrates cumulative satellite-detected water extent as observed from a Sentinel-1 imagery acquired on the 23 October 2023 at 18:10 local time. Within the analysed area of about 4,300 km², a total of about 53 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the detected surface waters, about 12,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to the backscattering properties of the radar signal.

Imagery and land cover · United Nations Satellite Centre (UNOSAT)