scholarly journals Large Scale Agricultural Plastic Mulch Detecting and Monitoring with Multi-Source Remote Sensing Data: A Case Study in Xinjiang, China

2019 ◽  
Vol 11 (18) ◽  
pp. 2088 ◽  
Author(s):  
Yuankang Xiong ◽  
Qingling Zhang ◽  
Xi Chen ◽  
Anming Bao ◽  
Jieyun Zhang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Crop Production ◽  
Large Scale ◽  
General Pattern ◽  
Temporal Analysis ◽  
Classification And Regression Tree ◽  
Plastic Mulch ◽  
Temporal And Spatial Distribution ◽  
Plastic Mulching ◽  
Multi Temporal

Plastic mulching has been widely practiced in crop cultivation worldwide due to its potential to significantly increase crop production. However, it also has a great impact on the regional climate and ecological environment. More importantly, it often leads to unexpected soil pollution due to fine plastic residuals. Therefore, accurately and timely monitoring of the temporal and spatial distribution of plastic mulch practice in large areas is of great interest to assess its impacts. However, existing plastic-mulched farmland (PMF) detecting efforts are limited to either small areas with high-resolution images or coarse resolution images of large areas. In this study, we examined the potential of cloud computing and multi-temporal, multi-sensor satellite images for detecting PMF in large areas. We first built the plastic-mulched farmland mapping algorithm (PFMA) rules through analyzing its spectral, temporal, and auxiliary features in remote sensing imagery with the classification and regression tree (CART). We then applied the PFMA in the dry region of Xinjiang, China, where a water resource is very scarce and thus plastic mulch has been intensively used and its usage is expected to increase significantly in the near future. The experimental results demonstrated that the PFMA reached an overall accuracy of 92.2% with a producer’s accuracy of 97.6% and a user’s accuracy of 86.7%, and the F-score was 0.914 for the PMF class. We further monitored and analyzed the dynamics of plastic mulch practiced in Xinjiang by applying the PFMA to the years 2000, 2005, 2010, and 2015. The general pattern of plastic mulch usage dynamic in Xinjiang during the period from 2000 to 2015 was well captured by our multi-temporal analysis.

scholarly journals Remote Sensing in Predicting Development Patterns of Built-up Land

2021 ◽  
Vol 2 (2) ◽  
pp. 56-64
Author(s):  
Iqbal Eko Noviandi ◽  
Ramadhan Alvien Hanif ◽  
Hasanah Rahma Nur ◽  
Nandi
Keyword(s):  
Remote Sensing ◽  
Urban Areas ◽  
Population Growth Rate ◽  
Landsat Imagery ◽  
Temporal Analysis ◽  
West Java ◽  
Development Patterns ◽  
Human Needs ◽  
Multi Temporal ◽  
Total Growth

Indonesia is a developing country whose construction and development are centered on the island of Java, especially in West Java Province. Sukabumi City is one of the areas in West Java. The development of urban areas is expanding due to various human needs to carry out the construction of buildings. Remote sensing that can be used to store developments with multi-temporal analysis with materials is Landsat imagery from 2001 to 2020. The method used is the Normalized Difference Built-up Index (NDBI). The purpose of this study is to map the development of the built-up land from year to year and predict the following years. The results of the research on the significant changes in built-up land occurred between 2013-2020, while from 2001 to 2013 there was not much change. Based on the research results, the total growth of built-up land was 1.539% per year with a population growth rate of 1.4% per year. The results of the analysis show that the area of ​​land built in Sukabumi City in 2028 is 186,7194 km2 or has increased by 21,2808 km2 since 2020.

scholarly journals Fenômenos geofísicos, captados a partir de sensores orbitais: estimativa de temperatura na superfície de Garanhuns-PE / Geophysical phenomena, obtained from orbital sensors: estimation of temperature on the surface in Garanhuns-PE

2015 ◽  
Vol 26 (45) ◽  
pp. 95
Author(s):  
Felippe Pessoa De Melo ◽  
Rosemeri Melo e Souza ◽  
Maria Betânia Moreira Amador
Keyword(s):  
Remote Sensing ◽  
Thermal Behavior ◽  
Working Conditions ◽  
Temporal Analysis ◽  
Mitigation Measures ◽  
Anthropogenic Effects ◽  
Thematic Mapping ◽  
Multi Temporal ◽  
Vector Base ◽  
Anthropogenic Processes

<p>A presente pesquisa teve como finalidade realizar uma análise multitemporal, da termodinâmica da superfície de Garanhuns-PE. Para tanto, utilizou-se as geotecnologias do Sensoriamento Remoto e Sistemas de Informações Geográficas (SIG). Juntamente com as imagens oriundas do satélite Landsat 5, sensor TM, banda 6, referentes aos anos de 1987, 2001 e 2010. Disponibilizadas pelo Instituto Nacional de Pesquisas Espaciais (INPE). A base vetorial, foi disponibilizada pelo Instituto Brasileiro de Geografia e Estatística (IBGE). Sendo assim, foi possível confeccionar um banco de dados georreferenciados e geocronológicos, o qual, viabilizou o mapeamento temático. Possibilitando, compreender o comportamento térmico dos alvos no transcorrer do tempo. Dados esses que são de suma importância para traçar medidas de mitigação dos efeitos antropogênicos na paisagem. Logo, ficou evidenciado que a maximização das médias termais no transcorrer das décadas, foram reciprocas aos processos antropogênicos</p><p> </p><p><strong>Palavras–chave:</strong> termodinâmica, geotecnologias, mapeamento temático, mitigação.</p><p> </p><p><strong>Abstract </strong></p><p>This research aimed to realize a multi-temporal analysis, the surface of thermodynamics in Garanhuns-PE. For this, it used the geotechnologies of Remote Sensing and Geographic Information Systems (GIS). Along with the images coming from the Landsat 5 satellite, TM sensor, band 6, referring to the years 1987, 2001 and 2010. Disclosed by the National Institute for Space Research (INPE). The vector base, was available by the Brazilian Institute of Geography and Statistics (IBGE). Thus, it was possible to confection a georeferenced database and geochronological, which, enabled the thematic mapping. Making it possible to understand the thermal behavior of the targets in the course of time. These data are of paramount importance to draw mitigation measures of the anthropogenic effects in the landscape. Soon, it was evident that the maximization of the hot medium in the course of decades, were reciprocal to anthropogenic processes.<strong> </strong></p><p><strong>Keywords</strong>: garbage collectors, recycling, working conditions, Association.</p><p> </p>

scholarly journals Incorporating Water Harvesting into Plasticulture Production of Muskmelon

1999 ◽  
Vol 9 (1) ◽  
pp. 78-85 ◽  
Author(s):  
Frank J. Dainello ◽  
Larry Stein ◽  
Guy Fipps ◽  
Kenneth White
Keyword(s):  
Crop Production ◽  
Large Scale ◽  
Production Systems ◽  
Water Harvesting ◽  
Vegetable Crops ◽  
Plastic Mulch ◽  
Dry Land ◽  
Yield Increase ◽  
Harvesting Technique ◽  
Marketable Fruit

Competition for limited water supplies is increasing world wide. Especially hard hit are the irrigated crop production regions, such as the Lower Rio Grande Valley and the Winter Garden areas of south Texas. To develop production techniques for reducing supplemental water needs of vegetable crops, an ancient water harvesting technique called rainfall capture was adapted to contemporary, large scale irrigated muskmelon (Cucumis melo var. reticulatus L.) production systems. The rainfall capture system developed consisted of plastic mulched miniature water catchments located on raised seed beds. This system was compared with conventional dry land and irrigated melon production. Rainfall capture resulted in 108% average yield increase over the conventional dry land technique. When compared with conventional furrow irrigation, rainfall capture increased marketable muskmelon yield as much as 5355 lb/acre (6000 kg·ha-1). As anticipated,the drip irrigation/plastic mulch system exceeded rainfall capture in total and marketable fruit yield. The results of this study suggest that rainfall capture can reduce total supplemental water use in muskmelon production. The major benefit of the rainfall capture system is believed to be in its ability to eliminate or decrease irrigation water needed to fill the soil profile before planting.

scholarly journals Identifying coastal saline soil management practices to reduce land degradation and increase crop production in Bangladesh

2021 ◽  
Vol 44 (2) ◽  
pp. 145-159
Author(s):  
Mohammad Asadul Haque
Keyword(s):  
Crop Production ◽  
Management Practices ◽  
Soil Moisture Content ◽  
Saline Soil ◽  
Fruit Yield ◽  
Control Treatment ◽  
Plastic Mulch ◽  
Salt Accumulation ◽  
Plastic Mulching ◽  
Academy Of Sciences

A consecutive three year duration field experiment was carried out to identify which of a suitable mulch material and a planting bed or their combinations potentially reduce salt accumulation in soil and increase snake gourd yield in coastal saline soils. There were nine treatment combinations having three kinds of mulch materials: no mulch (control), rice straw mulch and plastic mulch, and three kinds of planting beds: convex bed, flat bed and concave bed. Plastic mulch reduced electrical conductivity of soil by 32% and increased soil temperature by 23% and gravimetric soil moisture content by 25% over control treatment. Plastic mulch had a fruit yield of 30.73, 28.06 and 26.32 t ha-1, which was 72, 237 and 268 % higher than control treatment in 2018, 2019 and 2020, respectively. The convex bed planting had significantly higher fruit yield than flat bed and concave bed planting. Plastic mulching and convex bed planting may therefore be recommended for reducing soil salinity and improving snake gourd yield in coastal saline regions. Journal of Bangladesh Academy of Sciences, Vol. 44, No. 2, 145-159, 2020

scholarly journals Change Analysis of Spring Vegetation Green-Up Date in Qinba Mountains under the Support of Spatiotemporal Data Cube

2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Jiyuan Li ◽  
Xiao Feng ◽  
Jiangbin Yin ◽  
Fang Chen
Keyword(s):  
Remote Sensing ◽  
Human Activities ◽  
Large Scale ◽  
Strong Dependence ◽  
Reference Value ◽  
Data Cube ◽  
Vegetation Phenology ◽  
Change Analysis ◽  
Temporal And Spatial Distribution ◽  
Spring Phenology

In recent decades, global and local vegetation phenology has undergone significant changes due to the combination of climate change and human activities. Current researches have revealed the temporal and spatial distribution of vegetation phenology in large scale by using remote sensing data. However, researches on spatiotemporal differentiation of remote sensing phenology and its changes are limited which involves high-dimensional data processing and analysing. A new data model based on data cube technologies was proposed in the paper to efficiently organize remote sensing phenology and related reanalysis data in different scales. The multidimensional aggregation functions in the data cube promote the rapid discovery of the spatiotemporal differentiation of phenology. The exploratory analysis methods were extended to the data cube to mine the change characteristics of the long-term phenology and its influencing factors. Based on this method, the case study explored that the spring phenology of Qinba Mountains has a strong dependence on the topography, and the temperature plays a leading role in the vegetation green-up date distribution of the high-altitude areas while human activities dominate the low-altitude areas. The response of green-up trend slope seems to be the most sensitive at an altitude of about 2000 meters. This research provided a new approach for analysing phenology phenomena and its changes in Qinba Mountains that had the same reference value for other regional phenology studies.

scholarly journals Remote Sensing Greenness and Urbanization in Ecohydrological Model Analysis: Asia and Australasia (1982–2015)

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4693
Author(s):  
Danlu Cai ◽  
Klaus Fraedrich ◽  
Yanning Guan ◽  
Shan Guo ◽  
Chunyan Zhang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Large Scale ◽  
General Pattern ◽  
Tree Plantations ◽  
Global Changes ◽  
Illegal Logging ◽  
Vegetation Greenness ◽  
Unique Distribution ◽  
The Subject ◽  
Ecohydrological Model

Linking remote sensing information and ecohydrological models to improve understanding of terrestrial biosphere responses to climate and land use change has become the subject of increased interest due to the impacts of current global changes and the effect on the sustainability of human lifestyles. An application to Asia and Australasia (1982–2015) is presented, revealing the following results: (i) The broad distribution of regions with the enhanced vegetation greenness only follows the general pattern as for the whole, without obvious dependence on regional or climate fluxes ratios. That indicates a prevailing increasing greenness over land due to both the impacts of current global changes and the sustainability of human lifestyles; (ii) regions with vegetation greenness reduction reveal a unique distribution, concentrating in the water-limited domain due to the impacts of external (climatically “dry gets drier and wet gets wetter”) and internal (anthropogenically increased evaporation) changes; (iii) the external changes of dryness diverge at the boundary separating energy from water-limited regimes, and the internal changes indicate large-scale afforestation and deforestation) that occur mainly in China and Russia due to a conservation program and illegal logging, respectively, and a massive conversion of tropical forest to industrial tree plantations in Southeast Asia, leading to an increased evaporation.

scholarly journals Establishing an operational system for assessment and forecasting the impact of extreme weather events on crop production

MAUSAM ◽  
2021 ◽  
Vol 67 (1) ◽  
pp. 289-296
Author(s):  
SHIBENDU S. RAY ◽  
SURESH K. SINGH ◽  
NEETU . ◽  
S. MAMATHA
Keyword(s):  
Remote Sensing ◽  
Case Studies ◽  
Crop Production ◽  
Large Scale ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Wheat Crop ◽  
Production Forecasting ◽  
Weather Events ◽  
The Impact

Crop production forecasting is essential for various economic policy and decision making. There is a very successful operational programme in the country, called FASAL, which uses multiple approaches for pre-harvest production forecasting.  With the increase in the frequency of extreme events and their large-scale impact on agriculture, there is a strong need to use remote sensing technology for assessing the impact.  Various works have been done in this direction. This article provides three such case studies, where remote sensing along with other data have been used for assessment of flood inundation of rice crop post Phailin cyclone, period operational district/sub-district level drought assessment and understanding the impact of recent hailstorm/unseasonal rainfall on wheat crop. The case studies highlight the great scope of remote sensing data for assessment of the impact of extreme weather events on crop production.

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