scholarly journals Local indigenous strategy to rehabilitate and conserve mangrove ecosystem in the southeastern Gulf of Kupang, East Nusa Tenggara, Indonesia

2020 ◽  
Vol 21 (3) ◽  
Author(s):  
RONGGO SADONO ◽  
DJOKO SOEPRIJADI ◽  
ARI SUSANTI ◽  
Jeriels Matatula ◽  
EKO PUJIONO ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Mangrove Ecosystem ◽  
Local Communities ◽  
Observation Data ◽  
Mangrove Forests ◽  
Similar Action ◽  
Mangrove Ecosystems ◽  
Mangrove Rehabilitation

Abstract. Sadono R, Soeprijadi D, Susanti A, Matatula J, Pujiono E, Idris F, Wirabuana PYAP. 2020. Local indigenous strategy to rehabilitate and conserve mangrove ecosystem in the southeastern Gulf of Kupang, East Nusa Tenggara, Indonesia. Biodiversitas 21: 1250-1257.  The existence of local communities around mangrove ecosystems plays essential role to support the effort of conservation programs in this area. This study is aimed to investigate a set of situation faced by local communities in the southeastern Gulf of Kupang (SGK), East Nusa Tenggara Province which led to the rehabilitation of once degraded mangrove forests in SGK and the strategies to conserve the recovered mangrove forests. A case study approach was developed using purposive sampling to collect information regarding the historical situation of mangrove forests in SGK. Further, remote sensing method using multi-temporal observation data was used to investigate the changes in mangrove cover from 1994 to 2019. This study revealed that a series of situations became the fundamental of the success in retaining the existence of mangrove ecosystems in SGK. First, the negative impacts of mangrove degradation affected the communities badly in relation to their livelihoods in fisheries and marine sector as well as other environmental services. Then, this situation led to the emergent of a local champion to initiate mangrove rehabilitation efforts which firstly did not get attention from most of the communities. After some initial successes, the efforts of the local champion was then followed by other members of communities, triggering a bigger scale of mangrove rehabilitation. Having the mangrove recovered, the communities set of highly strict local indigenous rules in which every indigenous people who conducting illegal logging in the mangroves would be expelled from the village, while a large fine was given for outside people who did the similar action. Currently, more than 90% of respondents have understood the benefits of mangroves and derived advantages from it, particularly in improving their prosperity and security. The results of the success of mangrove rehabilitation and conservation in SGK was confirmed by the increasing extent of mangrove vegetation using remote sensing data. The case study of rehabilitation and conservation in SGK provided valuable learning for communities in other areas.

scholarly journals Land Cover Classification in Mangrove Ecosystems Based on VHR Satellite Data and Machine Learning—An Upscaling Approach

2020 ◽  
Vol 12 (17) ◽  
pp. 2684 ◽  
Author(s):  
Neda Bihamta Toosi ◽  
Ali Reza Soffianian ◽  
Sima Fakheran ◽  
Saeied Pourmanafi ◽  
Christian Ginzler ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Satellite Data ◽  
Mangrove Ecosystem ◽  
Limiting Factor ◽  
Mangrove Forests ◽  
Tidal Zone ◽  
Mangrove Ecosystems ◽  
Remote Sensing Techniques ◽  
Sentinel 2

Mangrove forests grow in the inter-tidal areas along coastlines, rivers, and tidal lands. They are highly productive ecosystems and provide numerous ecological and economic goods and services for humans. In order to develop programs for applying guided conservation and enhancing ecosystem management, accurate and regularly updated maps on their distribution, extent, and species composition are needed. Recent advances in remote sensing techniques have made it possible to gather the required information about mangrove ecosystems. Since costs are a limiting factor in generating land cover maps, the latest remote sensing techniques are advantageous. In this study, we investigated the potential of combining Sentinel-2 and Worldview-2 data to classify eight land cover classes in a mangrove ecosystem in Iran with an area of 768 km2. The upscaling approach comprises (i) extraction of reflectance values from Worldview-2 images, (ii) segmentation based on spectral and spatial features, and (iii) wall-to-wall prediction of the land cover based on Sentinel-2 images. We used an upscaling approach to minimize the costs of commercial satellite images for collecting reference data and to focus on freely available satellite data for mapping land cover classes of mangrove ecosystems. The approach resulted in a 65.5% overall accuracy and a kappa coefficient of 0.63, and it produced the highest accuracies for deep water and closed mangrove canopy cover. Mapping accuracies improved with this approach, resulting in medium overall accuracy even though the user’s accuracy of some classes, such as tidal zone and shallow water, was low. Conservation and sustainable management in these ecosystems can be improved in the future.

scholarly journals Detecting Forest Degradation in the Three-North Forest Shelterbelt in China from Multi-Scale Satellite Images

2021 ◽  
Vol 13 (6) ◽  
pp. 1131
Author(s):  
Tao Yu ◽  
Pengju Liu ◽  
Qiang Zhang ◽  
Yi Ren ◽  
Jingning Yao
Keyword(s):  
Remote Sensing ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Net Primary Production ◽  
Remote Sensing Data ◽  
Forest Degradation ◽  
Observation Data ◽  
Area Index ◽  
Sensing Data ◽  
Multi Scale

Detecting forest degradation from satellite observation data is of great significance in revealing the process of decreasing forest quality and giving a better understanding of regional or global carbon emissions and their feedbacks with climate changes. In this paper, a quick and applicable approach was developed for monitoring forest degradation in the Three-North Forest Shelterbelt in China from multi-scale remote sensing data. Firstly, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Ratio Vegetation Index (RVI), Leaf Area Index (LAI), Fraction of Photosynthetically Active Radiation (FPAR) and Net Primary Production (NPP) from remote sensing data were selected as the indicators to describe forest degradation. Then multi-scale forest degradation maps were obtained by adopting a new classification method using time series MODerate Resolution Imaging Spectroradiometer (MODIS) and Landsat Enhanced Thematic Mapper Plus (ETM+) images, and were validated with ground survey data. At last, the criteria and indicators for monitoring forest degradation from remote sensing data were discussed, and the uncertainly of the method was analyzed. Results of this paper indicated that multi-scale remote sensing data have great potential in detecting regional forest degradation.

scholarly journals The Evaluation of GPM Precipitation Remote Sensing Data with Observed Data (Case Study: Mid-West of Iran)

2019 ◽  
Vol 11 (2) ◽  
pp. 115-124
Author(s):  
hamid reza sadeghi ◽  
jafar masoompour ◽  
Morteza miri
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Sensing Data

scholarly journals Society’s Participation Model For Mangrove Rehabilitation in Cempa District, Pinrang Regency

2019 ◽  
Vol 2 (1) ◽  
pp. 9
Author(s):  
Nurul Azmi
Keyword(s):  
Mangrove Forest ◽  
Sampling Technique ◽  
Mangrove Ecosystem ◽  
Mangrove Forests ◽  
Planning Stage ◽  
Working Groups ◽  
Level Of Knowledge ◽  
Mangrove Rehabilitation ◽  
The Government ◽  
Forest Rehabilitation

This study aims to determine: 1) The level of society support in the rehabilitation of mangrove forests. 2) Model ofsociety participation in the rehabilitation of mangrove forests. The population in this study was 721 people, a sample was72 people. The sampling technique used is proportional random sampling. Data collection using observation techniques, interviews, and questionnaires. Data analysis using descriptive interpretative. The results showed that the level of knowledge and society support about mangrove forest rehabilitation is good enough. The model of society  participation is that they are directly involved in the rehabilitation of mangrove forest starting from the planning stage, which is to provide aspirations in the form of concepts, ideas. Designing the concept to be implemented. Planting, they participates in the provision of seeds and planting. Establish working groups led by community leaders or chairmen of working groups. Maintenance, participate in mangrove csssare from the re-planting of mangroves that diaman dead and eradicate the pests that attack the mangrove seeds, and finally the Supervision, in this stage  they forbid anyone to remove, cut the mangrove that has been planted. The government also participates in the supervision and make the rule of giving sanctions to those who deliberately destroy the mangrove ecosystem.

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