Community-driven tree planting greens the neighbouring landscape

Abstract Nature-based solutions to climate change are growing policy priorities yet remain hard to quantify. Here we use remote sensing to quantify direct and indirect benefits from community-led agroforestry by The International Small group and Tree planting program (TIST) in Kenya. Since 2005, TIST-Kenya has incentivised smallholder farmers to plant trees for agricultural benefit and to sequester CO2. We use Landsat-7 satellite imagery to examine the effect on the historically deforested landscape around Mount Kenya. We identify positive greening trends in TIST groves during 2000-2019 relative to the wider landscape. These groves cover 27,198 hectares, and a further 27,750 hectares of neighbouring agricultural land is also positively influenced by TIST. This positive ‘spill-over’ impact of TIST activity occurs at up to 360m distance. TIST also benefits local forests, e.g. through reducing fuelwood and fodder extraction. Our results show that community-led initiatives can lead to successful landscape-scale regreening on decadal timescales.

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Community-driven tree planting greens the neighbouring landscape

Scientific Reports ◽

10.1038/s41598-021-96973-6 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Joshua Buxton ◽

Tom Powell ◽

John Ambler ◽

Chris Boulton ◽

Arwen Nicholson ◽

...

Keyword(s):

Climate Change ◽

Remote Sensing ◽

Satellite Imagery ◽

Agricultural Land ◽

Smallholder Farmers ◽

Landscape Scale ◽

Tree Planting ◽

Indirect Benefits ◽

Landsat 7 ◽

Direct And Indirect Benefits

AbstractNature-based solutions to climate change are growing policy priorities yet remain hard to quantify. Here we use remote sensing to quantify direct and indirect benefits from community-led agroforestry by The International Small group and Tree planting program (TIST) in Kenya. Since 2005, TIST-Kenya has incentivised smallholder farmers to plant trees for agricultural benefit and to sequester CO2. We use Landsat-7 satellite imagery to examine the effect on the historically deforested landscape around Mount Kenya. We identify positive greening trends in TIST groves during 2000–2019 relative to the wider landscape. These groves cover 27,198 ha, and a further 27,750 ha of neighbouring agricultural land is also positively influenced by TIST. This positive ‘spill-over’ impact of TIST activity occurs at up to 360 m distance. TIST also benefits local forests, e.g. through reducing fuelwood and fodder extraction. Our results show that community-led initiatives can lead to successful landscape-scale regreening on decadal timescales.

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Spatial-Temporal Land Use and Land Cover Changes in Urban Areas Using Remote Sensing Images and GIS Analysis: The Case Study of Opole, Poland

Geosciences ◽

10.3390/geosciences11080312 ◽

2021 ◽

Vol 11 (8) ◽

pp. 312

Author(s):

Barbara Wiatkowska ◽

Janusz Słodczyk ◽

Aleksandra Stokowska

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Cover ◽

Satellite Imagery ◽

Urban Areas ◽

Agricultural Land ◽

Urban Expansion ◽

Landsat 8 ◽

Rate Of Increase ◽

Management Procedures

Urban expansion is a dynamic and complex phenomenon, often involving adverse changes in land use and land cover (LULC). This paper uses satellite imagery from Landsat-5 TM, Landsat-8 OLI, Sentinel-2 MSI, and GIS technology to analyse LULC changes in 2000, 2005, 2010, 2015, and 2020. The research was carried out in Opole, the capital of the Opole Agglomeration (south-western Poland). Maps produced from supervised spectral classification of remote sensing data revealed that in 20 years, built-up areas have increased about 40%, mainly at the expense of agricultural land. Detection of changes in the spatial pattern of LULC showed that the highest average rate of increase in built-up areas occurred in the zone 3–6 km (11.7%) and above 6 km (10.4%) from the centre of Opole. The analysis of the increase of built-up land in relation to the decreasing population (SDG 11.3.1) has confirmed the ongoing process of demographic suburbanisation. The paper shows that satellite imagery and GIS can be a valuable tool for local authorities and planners to monitor the scale of urbanisation processes for the purpose of adapting space management procedures to the changing environment.

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The Impacts of Climate Change on Agricultural Production and Sustainable Agriculture of Smallholder Farmers in Vietnam

Vietnam Journal of Agricultural Sciences ◽

10.31817/vjas.2021.4.2.10 ◽

2021 ◽

Vol 4 (2) ◽

pp. 1100-1107

Author(s):

Nguyen Van Phu

Keyword(s):

Climate Change ◽

Sustainable Agriculture ◽

Supply Chains ◽

Agricultural Land ◽

Smallholder Farmers ◽

Ghg Emissions ◽

Human Beings ◽

Negative Effects ◽

Food Supply Chains ◽

The World

Climate change is one of the greatest threats to human beings, and agriculture is one of the fields that is most negatively affected by climate change. Farmers around the world and global food supply chains are impacted by the more extreme weather phenomena and increased damage of diseases and pests caused by climate change. Today, almost all agricultural enterprises and farms consider climate change a serious long-term risk for their production. Agricultural land systems can produce significant greenhouse gases (GHGs) by the conversion of forests to crop- and animal lands, and also through the weak management of crops and livestock. Around the world, cultivation and cattle production accounts for 25% of global GHG emissions (Javeline, ‎2014). However, under suitable conditions, agriculture can create environmental conditions that can help minimize pollution and the negative effects of climate change including carbon absorption by green plants in forests, and fields for watershed protection and biodiversity conservation. Sustainable agriculture helps farmers to adapt, maintain, and improve productivity without applying harmful techniques. In turn, this allows farms to manage and mitigate climate-related risks in their supply chains. The Sustainable Agriculture Network (SAN) has found new ways to incorporate smart climate cultivation methods into all farming practices to help farms and enterprises carry out agriculture sustainably.

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The Mapping of Land Use Using Object-Based Image Analysis (OBIA) in Klaten Regency

E3S Web of Conferences ◽

10.1051/e3sconf/202020206036 ◽

2020 ◽

Vol 202 ◽

pp. 06036

Author(s):

Nurhadi Bashit ◽

Novia Sari Ristianti ◽

Yudi Eko Windarto ◽

Desyta Ulfiana

Keyword(s):

Remote Sensing ◽

Land Use ◽

Image Analysis ◽

Satellite Imagery ◽

Agricultural Land ◽

Scale Parameter ◽

Land Use Classification ◽

Object Based Image Analysis ◽

Object Based ◽

Sentinel 2

Klaten Regency is one of the regencies in Central Java Province that has an increasing population every year. This can cause an increase in built-up land for human activities. The built-up land needs to be monitored so that the construction is in accordance with the regional development plan so that it does not cause problems such as the occurrence of critical land. Therefore, it is necessary to monitor land use regularly. One method for monitoring land use is the remote sensing method. The remote sensing method is much more efficient in mapping land use because without having to survey the field. The remote sensing method utilizes satellite imagery data that can be processed for land use classification. This study uses the sentinel 2 satellite image data with the Object-Based Image Analysis (OBIA) algorithm to obtain land use classification. Sentinel 2 satellite imagery is a medium resolution image category with a spatial resolution of 10 meters. The land use classification can be used to see the distribution of built-up land in Klaten Regency without having to conduct a field survey. The results of the study obtained a segmentation scale parameter value of 60 and a merge scale parameter value of 85. The classification results obtained by 5 types of land use with OBIA. Agricultural land use dominates with an area of 50% of the total area.

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Study of the Recharge Area on Water Basin Soil with Remote Sensing Method Using Satellite Imagery Landsat 7 ETM + and Geographic Information Systems ( GIS ) (Case Study : Pasuruan District )

IPTEK The Journal for Technology and Science ◽

10.12962/j20882033.v28i3.3218 ◽

2017 ◽

Vol 28 (3) ◽

Author(s):

Isniyatus Sholikhah ◽

Muhammad Taufik ◽

Kukuh Sudjatmiko

Keyword(s):

Remote Sensing ◽

Information Systems ◽

Geographic Information Systems ◽

Satellite Imagery ◽

Geographic Information ◽

Recharge Area ◽

Water Basin ◽

Landsat 7

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Assessment the impacts of climate change on drought in the Ba River basin, Central Vietnam using Landsat remote sensing data

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/964/1/012006 ◽

2022 ◽

Vol 964 (1) ◽

pp. 012006

Author(s):

Han T N Tham ◽

Thy T M Pham ◽

Thi N K Truong ◽

Huong T T Nguyen ◽

Nguyen D Lam ◽

...

Keyword(s):

Climate Change ◽

Remote Sensing ◽

River Basin ◽

El Niño ◽

Agricultural Land ◽

El Nino ◽

Sharp Decrease ◽

Forest Area ◽

Central Vietnam ◽

Impacts Of Climate Change

Abstract Sustainable management of the river basin is a profound challenge for environmental management in the context of climate change. Drought situations in a basin occur in relation to meteorological, hydrological, agricultural factors and climate change as well. In this study, remote sensing technology was applied to assess the impacts of climate change on drought in the Ba River basin, Central Vietnam. Drought in the basin has been created by land use/land cover changes in recent years, which has resulted in a sharp decrease in forest area in the period 1989 to 2019 (-41.5%) and a significant increase of agricultural land with 38.2%. Following that, the area of drought agriculture rose by 28.8%. The remarkably high drought areas in agricultural land were in El Nino years, 2016 (99.2%) and 2019 (87.3%), which indicated that under climate change impacts, a drought occurred more severely. Moreover, drought also appeared in the forest. The forest area deceased but the drought levels in the forest increased slightly since 2005 and hit a peak drought value in 2016 with 97.0% of forest area. During El Niño years, the precipitation, atmospheric moisture, and water flow in the basin were all lower than in previous years.

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Landsat-7 and ASTER remote sensing satellite imagery for identification of iron skarn mineralization in metamorphic regions

Geocarto International ◽

10.1080/10106049.2020.1810327 ◽

2020 ◽

pp. 1-28 ◽

Cited By ~ 2

Author(s):

Hooman Moradpour ◽

Ghodratollah Rostami Paydar ◽

Amin Beiranvand Pour ◽

Khalil Valizadeh Kamran ◽

Bakhtiar Feizizadeh ◽

...

Keyword(s):

Remote Sensing ◽

Satellite Imagery ◽

Landsat 7 ◽

Remote Sensing Satellite

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Analysis of Land Use and Land Cover Changes in Urban Areas Using Remote Sensing: Case of Blantyre City

Discrete Dynamics in Nature and Society ◽

10.1155/2021/8011565 ◽

2021 ◽

Vol 2021 ◽

pp. 1-17

Author(s):

Jane Ferah Gondwe ◽

Sun Li ◽

Rodger Millar Munthali

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Cover ◽

Urban Areas ◽

Agricultural Land ◽

Landsat 8 ◽

Lulc Changes ◽

Wide Range ◽

Landsat 7 ◽

Artificial Neural Network Ann

Blantyre City has experienced a wide range of changes in land use and land cover (LULC). This study used Remote Sensing (RS) to detect and quantify LULC changes that occurred in the city throughout a twenty-year study period, using Landsat 7 Enhanced Thematic Mapper (ETM+) images from 1999 and 2010 and Landsat 8 Operational Land Imager (OLI) images from 2019. A supervised classification method using an Artificial Neural Network (ANN) was used to classify and map LULC types. The kappa coefficient and the overall accuracy were used to ascertain the classification accuracy. Using the classified images, a postclassification comparison approach was used to detect LULC changes between 1999 and 2019. The study revealed that built-up land and agricultural land increased in their respective areas by 28.54 km2 (194.81%) and 35.80 km2 (27.16%) with corresponding annual change rates of 1.43 km·year−1 and 1.79 km·year−1. The area of bare land, forest land, herbaceous land, and waterbody, respectively, decreased by 0.05%, 90.52%, 71.67%, and 6.90%. The LULC changes in the study area were attributed to urbanization, population growth, social-economic growth, and climate change. The findings of this study provide information on the changes in LULC and driving factors, which Blantyre City authorities can utilize to develop sustainable development plans.

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FORECAST EFFECTS OF DROUGHT ON AGRICULTURAL LAND USE BY GIS AND REMOTE SENSING IN BAC TRA MY DISTRICT, QUANG NAM PROVINCE

HUE UNIVERSITY JOURNAL OF SCIENCE AGRICULTURE AND RURAL DEVELOPMENT ◽

10.26459/hueunijard.v130i3c.6084 ◽

2021 ◽

Vol 130 (3C) ◽

Author(s):

Tran Thi Phuong ◽

Nguyen Bich Ngoc ◽

Nguyen Hoang Khanh Linh ◽

Nguyen Thi Hong Mai ◽

Huynh Van Chuong

Keyword(s):

Climate Change ◽

Remote Sensing ◽

Land Use ◽

Agricultural Land ◽

Geographical Information ◽

Agricultural Land Use ◽

Severe Drought ◽

Gis And Remote Sensing ◽

Rcp 8.5 ◽

Effects Of Drought

The phenomenon of prolonged drought as one of the consequences of climate change has significantly affected the agricultural production of rural communities in both mountainous and plain areas of Vietnam. This study, using standardized precipitation index (SPI) combining with the space technologies of Geographical Information Systems (GIS) and Remote Sensing (RS) to simulate and forecast the effects of drought on agricultural land use in Bac Tra My district, Quang Nam province. The data was set up for two scenarios of RCP 4.5 and RCP 8.5 in Bac Tra My district of Quang Nam province. Simultaneously, the research has also applied the focus group discussion, in-depth interview and field survey for data cross-checking to ensure highly reliable predictions. The research result has addressed four levels of drought, including normal, mild, moderate and severe drought appearing in the Summer-Autumn crop in the period 2016 – 2035 of the district. In which, severe drought will appear on large scale for both scenarios of RCP 4.5 and RCP 8.5 for 5 types of agricultural land use including paddy, annual crop, perennial, afforestation and aquacultural land. From these findings, the local authorities can consider and apply the adaptation and mitigation measures to climate change in agricultural land use planning.

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