Using Time-Series Remote Sensing Images in Monitoring the Spatial–Temporal Dynamics of LULC in the Msimbazi Basin, Tanzania

The basins containing rivers and wetlands are very significant to the surrounding dwellers in various ways, altogether aiming at boosting the economy for most developing countries. Unfortunately, the benefits are frequently overlooked and lead to basin mismanagement and degradation posed by increasi...

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Autores principales:	Herrieth Machiwa, Joseph Mango, Dhritiraj Sengupta, Yunxuan Zhou
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	remote sensing spatial–temporal changes human activities wetland Agriculture S
Acceso en línea:	https://doaj.org/article/4e654f0cfa664a8e9d9a0e516ec3c2b0
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id	oai:doaj.org-article:4e654f0cfa664a8e9d9a0e516ec3c2b0
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spelling	oai:doaj.org-article:4e654f0cfa664a8e9d9a0e516ec3c2b02021-11-25T18:09:12ZUsing Time-Series Remote Sensing Images in Monitoring the Spatial–Temporal Dynamics of LULC in the Msimbazi Basin, Tanzania10.3390/land101111392073-445Xhttps://doaj.org/article/4e654f0cfa664a8e9d9a0e516ec3c2b02021-10-01T00:00:00Zhttps://www.mdpi.com/2073-445X/10/11/1139https://doaj.org/toc/2073-445XThe basins containing rivers and wetlands are very significant to the surrounding dwellers in various ways, altogether aiming at boosting the economy for most developing countries. Unfortunately, the benefits are frequently overlooked and lead to basin mismanagement and degradation posed by increasing population. This study used population and satellite data to quantify the extent of land-use and land-cover changes along the Msimbazi valley between 1990 and 2019. Geographic information system and remote sensing techniques were used in the analysis and processing of remotely sensed images acquired in 1990, 2000, 2010 and 2019. The results reveal that the dominant area is built-up land that occupied 39.3% of the total in 1990 and gradually increased to 42.6% in 2000, 54.1% in 2010 and 65.5% in 2019. Moreover, forest and agriculture that in 1990 had been the second and third largest in size, respectively, had been decreasing throughout the entire period. The population increase had been threatening wetland vegetation during the initial 10 years (1990 to 2000); however, the wetland vegetation showed subsequent improvement after the implementation of some government initiatives. Other land cover, such as bush land and grassland, showed minority status with inconsistent changes in either increase or decrease. These findings imply that the Msimbazi Basin suffers much from uncoordinated human activities that consequently degrade its fertility. This degradation can be observed as well from the population distribution maps that show that a huge stress is being exerted along the riverine due to population growth and urbanization. The study also highlights that a lack of intensive management plans that are supported by clear legal commitments for optimal and sustainable resource utilization contributes to wetland deterioration.Herrieth MachiwaJoseph MangoDhritiraj SenguptaYunxuan ZhouMDPI AGarticleremote sensingspatial–temporal changeshuman activitieswetlandAgricultureSENLand, Vol 10, Iss 1139, p 1139 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	remote sensing spatial–temporal changes human activities wetland Agriculture S
spellingShingle	remote sensing spatial–temporal changes human activities wetland Agriculture S Herrieth Machiwa Joseph Mango Dhritiraj Sengupta Yunxuan Zhou Using Time-Series Remote Sensing Images in Monitoring the Spatial–Temporal Dynamics of LULC in the Msimbazi Basin, Tanzania
description	The basins containing rivers and wetlands are very significant to the surrounding dwellers in various ways, altogether aiming at boosting the economy for most developing countries. Unfortunately, the benefits are frequently overlooked and lead to basin mismanagement and degradation posed by increasing population. This study used population and satellite data to quantify the extent of land-use and land-cover changes along the Msimbazi valley between 1990 and 2019. Geographic information system and remote sensing techniques were used in the analysis and processing of remotely sensed images acquired in 1990, 2000, 2010 and 2019. The results reveal that the dominant area is built-up land that occupied 39.3% of the total in 1990 and gradually increased to 42.6% in 2000, 54.1% in 2010 and 65.5% in 2019. Moreover, forest and agriculture that in 1990 had been the second and third largest in size, respectively, had been decreasing throughout the entire period. The population increase had been threatening wetland vegetation during the initial 10 years (1990 to 2000); however, the wetland vegetation showed subsequent improvement after the implementation of some government initiatives. Other land cover, such as bush land and grassland, showed minority status with inconsistent changes in either increase or decrease. These findings imply that the Msimbazi Basin suffers much from uncoordinated human activities that consequently degrade its fertility. This degradation can be observed as well from the population distribution maps that show that a huge stress is being exerted along the riverine due to population growth and urbanization. The study also highlights that a lack of intensive management plans that are supported by clear legal commitments for optimal and sustainable resource utilization contributes to wetland deterioration.
format	article
author	Herrieth Machiwa Joseph Mango Dhritiraj Sengupta Yunxuan Zhou
author_facet	Herrieth Machiwa Joseph Mango Dhritiraj Sengupta Yunxuan Zhou
author_sort	Herrieth Machiwa
title	Using Time-Series Remote Sensing Images in Monitoring the Spatial–Temporal Dynamics of LULC in the Msimbazi Basin, Tanzania
title_short	Using Time-Series Remote Sensing Images in Monitoring the Spatial–Temporal Dynamics of LULC in the Msimbazi Basin, Tanzania
title_full	Using Time-Series Remote Sensing Images in Monitoring the Spatial–Temporal Dynamics of LULC in the Msimbazi Basin, Tanzania
title_fullStr	Using Time-Series Remote Sensing Images in Monitoring the Spatial–Temporal Dynamics of LULC in the Msimbazi Basin, Tanzania
title_full_unstemmed	Using Time-Series Remote Sensing Images in Monitoring the Spatial–Temporal Dynamics of LULC in the Msimbazi Basin, Tanzania
title_sort	using time-series remote sensing images in monitoring the spatial–temporal dynamics of lulc in the msimbazi basin, tanzania
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/4e654f0cfa664a8e9d9a0e516ec3c2b0
work_keys_str_mv	AT herriethmachiwa usingtimeseriesremotesensingimagesinmonitoringthespatialtemporaldynamicsoflulcinthemsimbazibasintanzania AT josephmango usingtimeseriesremotesensingimagesinmonitoringthespatialtemporaldynamicsoflulcinthemsimbazibasintanzania AT dhritirajsengupta usingtimeseriesremotesensingimagesinmonitoringthespatialtemporaldynamicsoflulcinthemsimbazibasintanzania AT yunxuanzhou usingtimeseriesremotesensingimagesinmonitoringthespatialtemporaldynamicsoflulcinthemsimbazibasintanzania
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Using Time-Series Remote Sensing Images in Monitoring the Spatial–Temporal Dynamics of LULC in the Msimbazi Basin, Tanzania

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