scholarly journals The impact of mangrove damage on tidal flooding in the subdistrict of Tugu, Semarang, Central Java

2021 ◽  
Vol 9 (1) ◽  
pp. 3093-3105
Author(s):  
Westi Utami ◽  
Yuli Ardianto Wibowo ◽  
Ahmad Haris Hadi ◽  
Fajar Buyung Permadi
Keyword(s):  
Agricultural Land ◽  
Spatiotemporal Analysis ◽  
Landsat 8 ◽  
Maximum Likelihood Algorithm ◽  
Tidal Flooding ◽  
Mangrove Area ◽  
Central Java ◽  
The Impact ◽  
Natural Barrier ◽  
Mangrove Conservation

Expansion of industrial areas, aquaculture, settlements, and limited knowledge of the community about the function of mangroves allegedly led to the conversion of mangrove functions in the early 1990s. This study aimed to map the condition of mangroves from 1988, 1990, 1995, 2008, to 2021 and their effect on the widespread of tidal flooding in three villages (Mangkang Kulon, Mangunharjo, Mangkang Wetan) in Tugu subdistrict, Semarang City. The research method was carried out by using spatiotemporal analysis of Landsat 5 and Landsat 8 imagery through the supervised approach (Maximum Likelihood algorithm). In order to map the correlation of mangrove damage with the widespread impact of tidal flooding, an overlay analysis of land use maps was carried out in 1988, 1990, 1995, 2008 and 2021. The results of the study showed that mangrove damage is correlated with the widespread of tidal flooding that drowns settlements, ponds, and agricultural land. Data analysis showed that the mangrove area in three villages has decreased from 1988 to 2021, covering an area of 242.66 ha. This condition is one of the triggers for the increase in tidal flooding area from 1988 to 2021, covering an area of 253.135 ha. As a natural barrier to prevent abrasion and tidal flooding, mangrove conservation is very necessary, considering the impact of tidal flooding on the coast of Semarang City is increasingly widespread.

Impact of LULC Changes on LST in Rajshahi District of Bangladesh: A Remote Sensing Approach

2020 ◽  
Vol 3 (1) ◽  
pp. 11-23 ◽  
Author(s):  
Abdulla Al Kafy ◽  
Abdullah Al-Faisal ◽  
Mohammad Mahmudul Hasan ◽  
Md. Soumik Sikdar ◽  
Mohammad Hasib Hasan Khan ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Surface Temperature ◽  
Land Surface ◽  
Agricultural Land ◽  
Global Climate ◽  
Urban Expansion ◽  
Water Bodies ◽  
Landsat 8 ◽  
Lulc Changes ◽  
The Impact

Urbanization has been contributing more in global climate warming, with more than 50% of the population living in cities. Rapid population growth and change in land use / land cover (LULC) are closely linked. The transformation of LULC due to rapid urban expansion significantly affects the functions of biodiversity and ecosystems, as well as local and regional climates. Improper planning and uncontrolled management of LULC changes profoundly contribute to the rise of urban land surface temperature (LST). This study evaluates the impact of LULC changes on LST for 1997, 2007 and 2017 in the Rajshahi district (Bangladesh) using multi-temporal and multi-spectral Landsat 8 OLI and Landsat 5 TM satellite data sets. The analysis of LULC changes exposed a remarkable increase in the built-up areas and a significant decrease in the vegetation and agricultural land. The built-up area was increased almost double in last 20 years in the study area. The distribution of changes in LST shows that built-up areas recorded the highest temperature followed by bare land, vegetation and agricultural land and water bodies. The LULC-LST profiles also revealed the highest temperature in built-up areas and the lowest temperature in water bodies. In the last 20 years, LST was increased about 13ºC. The study demonstrates decrease in vegetation cover and increase in non-evaporating surfaces with significantly increases the surface temperature in the study area. Remote-sensing techniques were found one of the suitable techniques for rapid analysis of urban expansions and to identify the impact of urbanization on LST.

scholarly journals IMPACT OF MERAPI SAND MINING IN KLATEN CENTRAL JAVA

2020 ◽  
Vol 2 (02) ◽  
pp. 20-31
Author(s):  
Arief K. Syaifulloh
Keyword(s):  
Agricultural Land ◽  
Primary Data ◽  
Sand Mining ◽  
Central Java ◽  
The Earth ◽  
Basic Law ◽  
The People ◽  
Observation Methods ◽  
The Impact ◽  
General Explanation

In the general explanation of Law No. 4 of 2009 on Mineral and Coal Mining it isoutlined that the Basic Law 1945 Article 33 paragraph (3) affirms the earth, water, andnatural wealth contained therein is controlled by the state and used for the greatprosperity of the people. In this study, the authors examined how environmentaldamage impacts the merapi sand mining in Klaten. The research method used in thisstudy is empirical legal research, where in empirical research emphasizes more on thesymptoms and consequences that occur based on the field, or in another sense thisstudy uses observation methods as primary data to see how the law in action goes.From the results of the research obtained that the impact of merapi sand mining in thecentral java klaten is the first impact on the damage of agricultural land, plantation landthat certainly threatens the availability of land for future generations of farmers thatwill certainly have an impact on food availability, secondly damaging evacuation routesand thirdly disrupting water content, ecology, landslide prone.

scholarly journals Non Agriculture with Settlement Legality in Boyolali Regency Central Java, Indonesia

2020 ◽  
Vol 3 (1) ◽  
pp. 206-215
Author(s):  
Ahmad Kurniadi ◽  
Isharyanto Isharyanto
Keyword(s):  
Agricultural Development ◽  
Agricultural Land ◽  
Study Data ◽  
Land Productivity ◽  
Literature Study ◽  
Descriptive Research ◽  
Central Java ◽  
Analysis Technique ◽  
Food Needs ◽  
The Impact

This research has been done to identify changes in agricultural land to non-agriculture causing the establishment of illegal settlements. Viewed from the standpoint of nature this research is descriptive research, carried out in order to help in strengthening old theories or within the framework of developing new theories. Research locations are in the Office of the Regional Planning, Research and Development (BP3D) Boyolali Regency and Boyolali Regency Agriculture Office. Data collection was carried out by interview and literature study. Data analysis technique is done by data reduction, data display and conclusion. The results show that agricultural development will occur if land problems over the conversion of agricultural land into settlements are unavoidable or need to find a solution to a problem that is very urgent, this is by studying the impact of the problem and socializing the community over these impacts and their resolution to obtain clarity of land legality the conversion. When land starts to shrink, domestic food needs will decrease because population growth cannot be avoided every year. For this reason, immediate special handling is needed, such as direct counseling for the community. Will be danger of land conversion is carried out continuously. Development of the latest technology is needed to manage the land so that fertility does not decrease quickly so as to reduce land productivity. Another way replacement of agricultural land which is used as an alternative handling of the legality problem of conversion of agricultural land.

scholarly journals Identification and Classification of Complex Agricultural Croplands Using Multi-Temporal ALOS-2/PALSAR-2 Data: A Case Study in Central Java, Indonesia

2018 ◽  
Vol 10 (2) ◽  
pp. 58
Author(s):  
Prima Rizky Mirelva ◽  
Ryota Nagasawa
Keyword(s):  
Remote Sensing ◽  
Paddy Field ◽  
Agricultural Land ◽  
National Income ◽  
Landsat 8 ◽  
Observation Data ◽  
Optical Remote Sensing ◽  
Cropping Pattern ◽  
Central Java ◽  
Multi Temporal

The agriculture sector makes a significant contribution to the Indonesian economy and has become one of the sources of national income. Therefore, precise agricultural mapping is very important to national and regional administrations. Satellite remote sensing provides the most effective tool for identifying a wide expanse of agriculture croplands. However, cloud coverage in tropical regions limits the use of optical remote sensing. SAR is an active remote sensing technique, which offers completely cloud-free observation data. The multi-temporal ALOS-2/PALSAR-2 data were used in this study, complemented by optical multi-temporal remote sensing data, that is, Landsat 8 OLI for classifying complex agricultural croplands. The study area, located in the Klaten Regency, Central Java Province, with 112 km2 coverage, was selected because of its dynamic cropping pattern and complex agricultural land use types. In this study, the RGB composite of HH, HV and HV-HH, derived from ALOS-2/PALSAR-2 polarizations, was found to be effective at separating two types of paddy field cropping pattern: all-year paddy (paddy-I) and paddy upland fields (paddy-II). The multi-temporal Landsat 8 data were also found to be useful for observing the cropping pattern. Moreover, the classification accuracy, which was as high as 85.02% in terms of overall accuracy, with a kappa coefficient of 0.824, from multi-temporal ALOS-2/PALSAR-2 data, was obtained. These results show that multi-temporal ALOS-2/PALSAR-2 data are capable of discriminating between two different paddy field cropping types, as well as beneficial for discriminating between the cropping stage and cropping pattern information for several other land uses.

scholarly journals Impact of coastal inundation on ecology and agricultural land use case study in central Java, Indonesia

2011 ◽  
Vol 30 (3) ◽  
pp. 19-32 ◽  
Author(s):  
Muh Marfai
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Regional Scale ◽  
Agricultural Land Use ◽  
Use Case ◽  
Coastal Inundation ◽  
Central Java ◽  
Dry Farming ◽  
The Impact

Impact of coastal inundation on ecology and agricultural land use case study in central Java, Indonesia Focusing on the regional scale, this study provides information concerning the existing ecological problems associated with coastal inundation in the northern part of coastal area in Central Java Province, Indonesia. The objectives of this paper are to map the coastal inundation, to investigate the impact of coastal inundation on coastal environment and ecology, and to assess the impact of inundation on agricultural land use. An integration of techniques, namely neighborhood analysis, iteration operation, and superimposed analysis method has been applied to generate the digital map and to analyze the impact of inundation. Fieldwork measurement has been done using cross-profiling in order to observe the impact of inundation on the coastal ecosystem. Based on the scenario of 100 cm and 150 cm of inundation, the affected area is about 15 207.6 Ha and 16 687.31 Ha, respectively. Fishpond, dry farming and paddy field are the most affected agricultural areas due to coastal inundation.

scholarly journals THE IMPACT OF SHARE CROPPING SYSTEM ON THE PRODUCTIVITY OF RICE FARMING IN CENTRAL JAVA

2020 ◽  
Author(s):  
Lestari Rahayu Waluyati ◽  
Jamhari ◽  
Abi Pratiwa Siregar
Keyword(s):  
Land Tenure ◽  
Agricultural Land ◽  
Cropping System ◽  
Rice Production ◽  
Rice Farming ◽  
Land Area ◽  
Productivity Level ◽  
Regression Methods ◽  
Central Java ◽  
The Impact

The problem in rice production in Java is the decrease of agricultural land area, and the increase of old farmers, the share cropping system is a system of land tenure distribution that is mostly carried out in Java. The research was conducted in Klaten Regency as the centre for rice production in Central Java. This study aims to determine the management of rice farming using a share cropping system and factors that affect its productivity. The research involved 60 farmers as the research samples who were collected using multiple linear regression methods. The analysis revealed that the number of tenant farmers amounted to 38% with a relatively younger age and a land area of 0.7 ha. Economically, they live a decent life with revenue per cost 1.6 and profit per cost C 0.25, and a productivity level of 6.3 tons/ha, which is higher than the landowners are. The share cropping system in rice farming in Klaten Regency is a system of land use and labor that provides good incentives for the tenant

scholarly journals Agricultural Crop Change in the Willamette Valley, Oregon, from 2004 to 2017

Data ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 17
Author(s):  
Bogdan M. Strimbu ◽  
George Mueller-Warrant ◽  
Kristin Trippe
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Cropping Systems ◽  
Landsat 8 ◽  
Agricultural Crop ◽  
Agricultural Crops ◽  
Willamette Valley ◽  
Remote Sensing Classification ◽  
Landsat 7 ◽  
The Impact

The Willamette Valley, bounded to the west by the Coast Range and to the east by the Cascade Mountains, is the largest river valley completely confined to Oregon. The fertile valley soils combined with a temperate, marine climate create ideal agronomic conditions for seed production. Historically, seed cropping systems in the Willamette Valley have focused on the production of grass and forage seeds. In addition to growing over two-thirds of the nation’s cool-season grass seed, cropping systems in the Willamette Valley include a diverse rotation of over 250 commodities for forage, seed, food, and cover cropping applications. Tracking the sequence of crop rotations that are grown in the Willamette Valley is paramount to answering a broad spectrum of agronomic, environmental, and economical questions. Landsat imagery covering approximately 25,303 km2 were used to identify agricultural crops in production from 2004 to 2017. The agricultural crops were distinguished by classifying images primarily acquired by three platforms: Landsat 5 (2003–2013), Landsat 7 (2003–2017), and Landsat 8 (2013–2017). Before conducting maximum likelihood remote sensing classification, the images acquired by the Landsat 7 were pre-processed to reduce the impact of the scan line corrector failure. The corrected images were subsequently used to classify 35 different land-use classes and 137 unique two-year-long sequences of 57 classes of non-urban and non-forested land-use categories from 2004 through 2014. Our final data product uses new and previously published results to classify the western Oregon landscape into 61 different land use classes, including four majority-rule-over-time super-classes and 57 regular classes of annually disturbed agricultural crops (19 classes), perennial crops (20 classes), forests (13 classes), and urban developments (5 classes). These publicly available data can be used to inform and support environmental and agricultural land-use studies.

scholarly journals Mobilitas Penduduk, Kemiskinan, dan Ketahanan Pangan di Daerah Bencana: Kasus Desa Timbulsloko, Kecamatan Sayung, Kabupaten Demak, Provinsi Jawa Tengah

Populasi ◽  
2019 ◽  
Vol 27 (1) ◽  
pp. 52
Author(s):  
Sukamdi Sukamdi
Keyword(s):  
Agricultural Land ◽  
Poverty Line ◽  
Tidal Flooding ◽  
Agricultural Work ◽  
Capita Expenditure ◽  
Economic Barriers ◽  
The Impact ◽  
The Village ◽  
The Relationship ◽  
Depth Interviews

The purpose of this study is to explain the relationship between migration, poverty,and fulfillment of food demand. Research design is a mixed method, combining survey and qualitative methods. The survey was conducted involving 100 samples of randomly selected households. While the qualitative method is carried out by in-depth interviews with selected households and key informants. The results of this study indicate that the impact of tidal flooding on the community economy is very significant. For example, more than one fifth of households fall into the poor category (per capita expenditure below the poverty line). One of the reasons is that tidal flooding has resulted in the loss of most people's livelihoods from agriculture. In addition, the loss of agricultural land has also resulted in the loss of food resources. In the end, this caused most households to rely on non-agricultural work, namely as laborers, outside the village. As a consequence they have to carry out non-permanent mobility as a way to overcome the economic problems they face. The interesting thing is they don't want to migrate to other places. One reason why they do not migrate is their inability to overcome economic barriers in the form of costs to migrate.

scholarly journals Frost Hazard Assessment on Agricultural Land to Achieve Resilient Agriculture in Dieng Volcanic Highland, Central Java

2019 ◽  
Vol 3 (1) ◽  
pp. 46
Author(s):  
Aditya Pradana ◽  
Aida Mardiana ◽  
Fathimah Nur Lestari ◽  
Futuha Helen Sara ◽  
Sani Afifah ◽  
...  
Keyword(s):  
Agricultural Land ◽  
Warning System ◽  
Leaf Tissue ◽  
Crop Failure ◽  
Cold Temperatures ◽  
Central Java ◽  
Hazard Level ◽  
Agricultural Resilience ◽  
High Level ◽  
The Impact

Dieng Volcanic Highland is one of the most intensive potato agricultural land in Indonesia, as well as frost disaster prone area. Frost indicated by appearance of frozen dew on the ground or vegetation surface due to cold temperatures during dry season. Frost causes damage to leaf tissue in potato plants, resulting crop failure and losses of up to tens of millions. Disaster management needs to be assess in order to achieve Disaster Risk Reduction (DRR) on agricultural land. This research aims to identify frost hazard areas based on local physical characteristics, analyze frost impacts on agricultural land, and provide preparedness recommendation to reduce the impact of frost disasters in Dieng Volcanic Highland. Research was conducted in Dieng Village, Wonosobo and Dieng Kulon Village, Banjarnegara. Method to assess hazard level was performed by spatial mapping technology using ArcGIS and comprehensive analysis using frost assessment through combinations of geomorphology, land use, proximity to water bodies and weather aspects. Dieng Volcanic Highland has a 125.59 hectare frost hazard areas, as many as 58.4 hectares of hazard areas are dominated by high level, while 24.84 hectares are moderate level and 42.95 hectares are low level. Cropland dominated by potato commodity has the highest hazard level, frost incident causing agricultural commodities to wither to death so that farmers experience losses. Frost losses in Dieng have a range from 800 thousand rupiah to over 155 million rupiah and only destructive on potato farm. In order to encourage agricultural resilience and reduce the loss of frost disasters, effort of preparedness can be done by passively and actively methods. Passive methods includes site selection, early warning system, shifting commodities, cropland modification, and appropriate calendar planting. Active methods includes frost modification using heaters, blower and sprinkle irrigation, and cropland covering using mulch, plastic or nets.

scholarly journals Assessing the applicability of Fusion Landsat-MODIS data for mapping agricultural land use - A case study in An Giang Province

2022 ◽  
Vol 964 (1) ◽  
pp. 012005
Author(s):  
P K Diem ◽  
N K Diem ◽  
N T Can ◽  
V Q Minh ◽  
H T T Huong ◽  
...  
Keyword(s):  
Land Use ◽  
Time Series ◽  
Land Cover ◽  
Agricultural Land ◽  
Kappa Coefficient ◽  
Series Data ◽  
Agricultural Land Use ◽  
Landsat 8 ◽  
Modis Imagery ◽  
The Impact

Abstract This study aimed to evaluate the applicability of using time-series data of spatiotemporal fusion Landsat-MODIS imagery for mapping agricultural land use in An Giang province, Vietnam. The Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) was adopted for fusion techniques to integrate the relatively high spatial resolution of Landsat (30 meters) and frequently revisit time of MODIS (MOD09Q1, 8-days). The Maximum Likelihood Classifier (MLC) was then used to classify the land cover categories based on variations of NDVI (Normalized Difference Vegetation Index) time-series over the observation period. The overall accuracy is about 84.9%, and a kappa coefficient of K=0.7, which revealed the effectiveness of using Fusion Landsat-MODIS NDVI data in land cover classification at the provincial scale. The current of the agricultural land use was finally mapped, including seven categories, namely built-up areas (10.49%), double rice crops (4.8%), triple rice crops (68.24%), perennial tree/orchards (4.08%), annual crops (7%), water surfaces (3.07%), and forest (2.32%). The results indicate that the agricultural land use cover can be detected in detail using Fusion Landsat-MODIS imagery. The classification is dramatically higher compared to the map classified by a conventional method of solely Landsat 8 image analysis (overall accuracy of 67.3% and Kappa coefficient K=0.35). The research outcomes will support the detailed information for managers in evaluating the impact of climate change on the rice cropping system toward sustainable agriculture development.

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