• Title/Summary/Keyword: remote rural area

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A Study on the Observation of Soil Moisture Conditions and its Applied Possibility in Agriculture Using Land Surface Temperature and NDVI from Landsat-8 OLI/TIRS Satellite Image (Landsat-8 OLI/TIRS 위성영상의 지표온도와 식생지수를 이용한 토양의 수분 상태 관측 및 농업분야에의 응용 가능성 연구)

  • Chae, Sung-Ho;Park, Sung-Hwan;Lee, Moung-Jin
    • Korean Journal of Remote Sensing
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    • v.33 no.6_1
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    • pp.931-946
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    • 2017
  • The purpose of this study is to observe and analyze soil moisture conditions with high resolution and to evaluate its application feasibility to agriculture. For this purpose, we used three Landsat-8 OLI (Operational Land Imager)/TIRS (Thermal Infrared Sensor) optical and thermal infrared satellite images taken from May to June 2015, 2016, and 2017, including the rural areas of Jeollabuk-do, where 46% of agricultural areas are located. The soil moisture conditions at each date in the study area can be effectively obtained through the SPI (Standardized Precipitation Index)3 drought index, and each image has near normal, moderately wet, and moderately dry soil moisture conditions. The temperature vegetation dryness index (TVDI) was calculated to observe the soil moisture status from the Landsat-8 OLI/TIRS images with different soil moisture conditions and to compare and analyze the soil moisture conditions obtained from the SPI3 drought index. TVDI is estimated from the relationship between LST (Land Surface Temperature) and NDVI (Normalized Difference Vegetation Index) calculated from Landsat-8 OLI/TIRS satellite images. The maximum/minimum values of LST according to NDVI are extracted from the distribution of pixels in the feature space of LST-NDVI, and the Dry/Wet edges of LST according to NDVI can be determined by linear regression analysis. The TVDI value is obtained by calculating the ratio of the LST value between the two edges. We classified the relative soil moisture conditions from the TVDI values into five stages: very wet, wet, normal, dry, and very dry and compared to the soil moisture conditions obtained from SPI3. Due to the rice-planing season from May to June, 62% of the whole images were classified as wet and very wet due to paddy field areas which are the largest proportions in the image. Also, the pixels classified as normal were analyzed because of the influence of the field area in the image. The TVDI classification results for the whole image roughly corresponded to the SPI3 soil moisture condition, but they did not correspond to the subdivision results which are very dry, wet, and very wet. In addition, after extracting and classifying agricultural areas of paddy field and field, the paddy field area did not correspond to the SPI3 drought index in the very dry, normal and very wet classification results, and the field area did not correspond to the SPI3 drought index in the normal classification. This is considered to be a problem in Dry/Wet edge estimation due to outlier such as extremely dry bare soil and very wet paddy field area, water, cloud and mountain topography effects (shadow). However, in the agricultural area, especially the field area, in May to June, it was possible to effectively observe the soil moisture conditions as a subdivision. It is expected that the application of this method will be possible by observing the temporal and spatial changes of the soil moisture status in the agricultural area using the optical satellite with high spatial resolution and forecasting the agricultural production.

Estimation of Paddy Rice Growth Parameters Using L, C, X-bands Polarimetric Scatterometer (L, C, X-밴드 다편파 레이더 산란계를 이용한 논 벼 생육인자 추정)

  • Kim, Yi-Hyun;Hong, Suk-Young;Lee, Hoon-Yol
    • Korean Journal of Remote Sensing
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    • v.25 no.1
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    • pp.31-44
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    • 2009
  • The objective of this study was to measure backscattering coefficients of paddy rice using a L-, C-, and X-band scatterometer system with full polarization and various angles during the rice growth period and to relate backscattering coefficients to rice growth parameters. Radar backscattering measurements of paddy rice field using multifrequency (L, C, and X) and full polarization were conducted at an experimental field located in National Academy of Agricultural Science (NAAS), Suwon, Korea. The scatterometer system consists of dual-polarimetric square horn antennas, HP8720D vector network analyzer ($20\;MHz{\sim}20\;GHz$), RF cables, and a personal computer that controls frequency, polarization and data storage. The backscattering coefficients were calculated by applying radar equation for the measured at incidence angles between $20^{\circ}$ and $60^{\circ}$ with $5^{\circ}$ interval for four polarization (HH, VV, HV, VH), respectively. We measured the temporal variations of backscattering coefficients of the rice crop at L-, C-, X-band during a rice growth period. In three bands, VV-polarized backscattering coefficients were higher than hh-polarized backscattering coefficients during rooting stage (mid-June) and HH-polarized backscattering coefficients were higher than VV-, HV/VH-polarized backscattering coefficients after panicle initiation stage (mid-July). Cross polarized backscattering coefficients in X-band increased towards the heading stage (mid-Aug) and thereafter saturated, again increased near the harvesting season. Backscattering coefficients of range at X-band were lower than that of L-, C-band. HH-, VV-polarized ${\sigma}^{\circ}$ steadily increased toward panicle initiation stage and thereafter decreased, and again increased near the harvesting season. We plotted the relationship between backscattering coefficients with L-, C-, X-band and rice growth parameters. Biomass was correlated with L-band hh-polarization at a large incident angle. LAI (Leaf Area Index) was highly correlated with C-band HH- and cross-polarizations. Grain weight was correlated with backscattering coefficients of X-band VV-polarization at a large incidence angle. X-band was sensitive to grain maturity during the post heading stage.

Spatial Anaylsis of Agro-Environment of North Korea Using Remote Sensing I. Landcover Classification from Landsat TM imagery and Topography Analysis in North Korea (위성영상을 이용한 북한의 농업환경 분석 I. Landsat TM 영상을 이용한 북한의 지형과 토지피복분류)

  • Hong, Suk-Young;Rim, Sang-Kyu;Lee, Seung-Ho;Lee, Jeong-Cheol;Kim, Yi-Hyun
    • Korean Journal of Environmental Agriculture
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    • v.27 no.2
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    • pp.120-132
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    • 2008
  • Remotely sensed images from a satellite can be applied for detecting and quantifying spatial and temporal variations in terms of landuse & landcover, crop growth, and disaster for agricultural applications. The purposes of this study were to analyze topography using DEM(digital elevation model) and classify landuse & landcover into 10 classes-paddy field, dry field, forest, bare land, grass & bush, water body, reclaimed land, salt farm, residence & building, and others-using Landsat TM images in North Korea. Elevation was greater than 1,000 meters in the eastern part of North Korea around Ranggang-do where Kaemagowon was located. Pyeongnam and Hwangnam in the western part of North Korea were low in elevation. Topography of North Korea showed typical 'east-high and west-low' landform characteristics. Landcover classification of North Korea using spectral reflectance of multi-temporal Landsat TM images was performed and the statistics of each landcover by administrative district, slope, and agroclimatic zone were calculated in terms of area. Forest areas accounted for 69.6 percent of the whole area while the areas of dry fields and paddy fields were 15.7 percent and 4.2 percent, respectively. Bare land and water body occupied 6.6 percent and 1.6 percent, respectively. Residence & building reached less than 1 percent of the country. Paddy field areas concentrated in the A slope ranged from 0 to 2 percent(greater than 80 percent). The dry field areas were shown in the A slope the most, followed by D, E, C, B, and F slopes. According to the statistics by agroclimatic zone, paddy and dry fields were mainly distributed in the North plain region(N-6) and North western coastal region(N-7). Forest areas were evenly distributed all over the agroclimatic regions. Periodic landcover analysis of North Korea based on remote sensing technique using satellite imagery can produce spatial and temporal statistics information for future landuse management and planning of North Korea.

Analysis on Technical Specification and Application for the Medium-Satellite Payload in Agriculture and Forestry (농림업 중형위성 탑재체 개발을 위한 기술 사양 및 활용 분석)

  • Kim, Bumseung;Kim, Hyeoncheol;Song, Kyoungmin;Hong, Sukyoung;Lee, Wookyung
    • Journal of Satellite, Information and Communications
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    • v.10 no.4
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    • pp.117-127
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    • 2015
  • Recently, research and development on satellite payloads are being developed such as the optical sensor, SAR etc. Satellite image for earth observation is being utilized both domestically and abroad. Advanced satellite payload technology has led to the collection and analysis of satellite images relying on the optical sensor. Currently, related organizations such as RDA(the Rural Development Administration) are collectively collaborating to plan a national project to develop a medium-sized satellite based on Korea's domestic technology independently. This paper investigated the cases of the past research on application of satellite images for agriculture and analyzed the technical specifications for satellite payload in each area of such application. Based on the results of the past surveys and consultation studies among local experts in satellite image application, we analyzed the current trends, plans and applications of domestic and overseas R&D in satellite payloads for earth observation in agriculture, and proposed the appropriate technical specifications for developing a future medium-sized satellite for agriculture. The proposed specifications were then incorporated into a simulated satellite to examine its performance to observe the Korean farming areas. The authors anticipate that the findings of this paper will form a useful technical basis for providing the appropriate specifications for developing future medium-sized satellite payloads to be used in agriculture and forestry, and enabling the end users to efficiently utilize the satellite.

A Case Study of Service Education Activities Applying Mathematics into a Place-Based Earth Science Program: Measuring the Earth's Size (수학과 연계한 장소기반 지구과학 프로그램에 대한 교육봉사활동 사례 연구: 지구의 크기 측정)

  • Yu, Eun-Jeong;Kim, Kyung Hwa
    • Journal of the Korean earth science society
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    • v.40 no.5
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    • pp.518-537
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    • 2019
  • This study examined the implications of a place-based earth science program integrated with Mathematics. 11 pre-service earth science teachers and 22 middle school students participated in the service education activities of earth science for 30 hours focusing on the measurement of the earth's size through earth science experiments as part of the middle school curriculum. In order to minimize errors that may occur during the earth's size measurement experiments using Eratosthenes's shadows length method of the ancient Greek era, the actual data were collected after triangulation ratios were conducted in the locations of two middle schools: one in remote metropolitan and the other in rural area. The two schools' students shared the final estimate result. Through this process, they learned the mathematical method to express the actual data effectively. Participants, experienced the importance and difficulty of the repetitive and accurate data acquisition process, and also discussed the causes of errors included in the final results. It implies that a Place-Based Earth Science Program activity can contribute to students' increased-understanding of the characteristics of earth science inquiry and to developing their problem solving skills, thinking ability, and communication skills as well, which are commonly emphasized in science and mathematics in the 2015 reunion curriculum. It is expected that a place-based science program can provide a foundation for developing an integrated curriculum of mathematics and science.

Unveiling the Potential: Exploring NIRv Peak as an Accurate Estimator of Crop Yield at the County Level (군·시도 수준에서의 작물 수확량 추정: 옥수수와 콩에 대한 근적외선 반사율 지수(NIRv) 최댓값의 잠재력 해석)

  • Daewon Kim;Ryoungseob Kwon
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.25 no.3
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    • pp.182-196
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    • 2023
  • Accurate and timely estimation of crop yields is crucial for various purposes, including global food security planning and agricultural policy development. Remote sensing techniques, particularly using vegetation indices (VIs), have show n promise in monitoring and predicting crop conditions. However, traditional VIs such as the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) have limitations in capturing rapid changes in vegetation photosynthesis and may not accurately represent crop productivity. An alternative vegetation index, the near-infrared reflectance of vegetation (NIRv), has been proposed as a better predictor of crop yield due to its strong correlation with gross primary productivity (GPP) and its ability to untangle confounding effects in canopies. In this study, we investigated the potential of NIRv in estimating crop yield, specifically for corn and soybean crops in major crop-producing regions in 14 states of the United States. Our results demonstrated a significant correlation between the peak value of NIRv and crop yield/area for both corn and soybean. The correlation w as slightly stronger for soybean than for corn. Moreover, most of the target states exhibited a notable relationship between NIRv peak and yield, with consistent slopes across different states. Furthermore, we observed a distinct pattern in the yearly data, where most values were closely clustered together. However, the year 2012 stood out as an outlier in several states, suggesting unique crop conditions during that period. Based on the established relationships between NIRv peak and yield, we predicted crop yield data for 2022 and evaluated the accuracy of the predictions using the Root Mean Square Percentage Error (RMSPE). Our findings indicate the potential of NIRv peak in estimating crop yield at the county level, with varying accuracy across different counties.

The Seosan County Family Planning/Maternal & Child Health Service Research Project, Korea -Project Design and Findings of the Baseline Survey- (가족계획(家族計劃) 및 모자보건사업(母子保健事業)의 효율적 통합방안(統合方案)에 관한 연구(硏究)(서산군(瑞山郡)) -기초조사보고(基礎調査報告)-)

  • Bang, S.;Cho, T.H.;Lee, S.J.;Han, S.H.;Lim, K.J.;Ahn, M.Y.
    • Journal of Preventive Medicine and Public Health
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    • v.16 no.1
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    • pp.163-192
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    • 1983
  • In order to facilitate the Korean government's efforts in integrating family planning and maternal & child health at the primary health care level (or township level), the Soon Chun Hyang College of Medicine, with the financial and technical assistance of WHO, has under-taken a service research project. The project has employed a quasi-experimental study design introducing interventions tat provide crucial factors lacking in the ongoing government programs such as midwives and qualified referral physicians. The study is being conducted in three locations, one control area and two study areas. Before introducing trained Nurse/Midewives into the study areas, a baseline prevalence survey was undertaken from 15 July 1981 to 10 August 1981 in selelcted townships of Seosan County. In this sample survey of bath the study and control areas, 2,484 eligible women (97% reponse rate) were interviewed to obtain benchmark data on basic evaluation indicators related to family planning and maternal and child health. The salients results were summarized as follows.: 1. CONTACT RATES WITH HEALTH WORKERS; During the year preceding the survey, 12% of women were visited by government health workers. The primary reason for such visits by health workers was family planning (45% of the visits). About 34% of the women visited the health centers during the year. The primary reason for visiting health centers was immunizations for their children (45% of the visits). 3. FAMILY PLANNING USE RATE; The baseline data showed little difference between women in the study area and the control area on contraceptive use. Approximately 59% were currently using some methods. However, among those current users, almost half were practicing less effective methods of birth control such as rhythm or withdrawal. Among other methods, the tubectomy was the most popular (16%), while use of the IUD, oral pill and condom together reached only 14%. 3. PRENATAL CARE RATE; About 75% of the women reported no prenatal care for their last births (the youngest child of each women), Additionally, among women received prenatal care, over half had only one visit. 4. ATTENDANCE AT DELIVERY; Most of the women surveyed (over 80%) were attended by a non-medical person during their last delivery. These figures are somewhat comparable to the national figure of 84% for remote areas. 5. POSTNATAL CARE; The proportion of women reporting postnatal care was only 4.5%, and postnatal care was not received by the majority of women surveyed. 6. CHILD HEALTH CARE: In contrast to the low rate of maternity care for women themselves, most women reported obtaining immunization care for their children. About 75% of the women obtained Polio and/or DPT, 58% BCG, and 44% Measles vaccine for their children. However, in terms of illness care, while 35% of the women stated that their youngest child had been sick during the month preceding the survey, only 28% of these women took their child to the clinic for treatment. 7. COMPLICATIONS OF PREGNANCY AND DELIVERY AND ABNORMALITIES IN THE NEWBORN; Among all last deliveries, 18% of the women had pregnancy complications and 9% of the women had complications during delivery About 5% of the women reported abnormality in their most recent newborn. 8. REPRODUCTION EFFICIENCY; PERINATAL MORTALITY AND INFANT MORTALITY Based on data from the pregnancy history in this survey, reproduction efficiency was estimated. Out of the 11,154 pregnancies reported by all women surveyed, foetal loss was 21% (almost 16% were induced abortions) and infant deaths before reaching one year old were 3.1%. The reproduction efficiency was, therefore, reduced to 76%. In terms of perinatal and infant mortality rates, the former was 40.2 per 1,000 total births and the latter was 39.3 per 1,000 live births. Both rates described J shaped relationships with age of mothers and parity, and they were also correlated with birth interval and mother's education. In summary, this baseline survey data indicated a need for (1) improving contraceptive practices with more effective methods to prevent unwanted pregnancies and (2) providing better services for maternal and child care to protect wanted pregancies. In the Korean rural setting. the author believes that the latter is more important as the value of each child has increased as a result of the family planning campaign for the past two decades. This calls for more effective integration of Family Planning and MCH programmes to meet the needs of the family in each stage of the child bearing and rearing period with deploying more qualified personnel than the current government program personnel.

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Estimation of Soybean Growth Using Polarimetric Discrimination Ratio by Radar Scatterometer (레이더 산란계 편파 차이율을 이용한 콩 생육 추정)

  • Kim, Yi-Hyun;Hong, Suk-Young
    • Korean Journal of Soil Science and Fertilizer
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    • v.44 no.5
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    • pp.878-886
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    • 2011
  • The soybean is one of the oldest cultivated crops in the world. Microwave remote sensing is an important tool because it can penetrate into cloud independent of weather and it can acquire day or night time data. Especially a ground-based polarimetric scatterometer has advantages of monitoring crop conditions continuously with full polarization and different frequencies. In this study, soybean growth parameters and soil moisture were estimated using polarimetric discrimination ratio (PDR) by radar scatterometer. A ground-based polarimetric scatterometer operating at multiple frequencies was used to continuously monitor the soybean growth condition and soil moisture change. It was set up to obtain data automatically every 10 minutes. The temporal trend of the PDR for all bands agreed with the soybean growth data such as fresh weight, Leaf Area Index, Vegetation Water Content, plant height; i.e., increased until about DOY 271 and decreased afterward. Soil moisture lowly related with PDR in all bands during whole growth stage. In contrast, PDR is relative correlated with soil moisture during below LAI 2. We also analyzed the relationship between the PDR of each band and growth data. It was found that L-band PDR is the most correlated with fresh weight (r=0.96), LAI (r=0.91), vegetation water content (r=0.94) and soil moisture (r=0.86). In addition, the relationship between C-, X-band PDR and growth data were moderately correlated ($r{\geq}0.83$) with the exception of the soil moisture. Based on the analysis of the relation between the PDR at L, C, X-band and soybean growth parameters, we predicted the growth parameters and soil moisture using L-band PDR. Overall good agreement has been observed between retrieved growth data and observed growth data. Results from this study show that PDR appear effective to estimate soybean growth parameters and soil moisture.

Comparative Study on the Carbon Stock Changes Measurement Methodologies of Perennial Woody Crops-focusing on Overseas Cases (다년생 목본작물의 탄소축적 변화량 산정방법론 비교 연구-해외사례를 중심으로)

  • Hae-In Lee;Yong-Ju Lee;Kyeong-Hak Lee;Chang-Bae Lee
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.25 no.4
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    • pp.258-266
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    • 2023
  • This study analyzed methodologies for estimating carbon stocks of perennial woody crops and the research cases in overseas countries. As a result, we found that Australia, Bulgaria, Canada, and Japan are using the stock-difference method, while Austria, Denmark, and Germany are estimating the change in the carbon stock based on the gain-loss method. In some overseas countries, the researches were conducted on estimating the carbon stock change using image data as tier 3 phase beyond the research developing country-specific factors as tier 2 phase. In South Korea, convergence studies as the third stage were conducted in forestry field, but advanced research in the agricultural field is at the beginning stage. Based on these results, we suggest directions for the following four future researches: 1) securing national-specific factors related to emissions and removals in the agricultural field through the development of allometric equation and carbon conversion factors for perennial woody crops to improve the completeness of emission and removals statistics, 2) implementing policy studies on the cultivation area calculation refinement with fruit tree-biomass-based maturity, 3) developing a more advanced estimation technique for perennial woody crops in the agricultural sector using allometric equation and remote sensing techniques based on the agricultural and forestry satellite scheduled to be launched in 2025, and to establish a matrix and monitoring system for perennial woody crop cultivation areas in the agricultural sector, Lastly, 4) estimating soil carbon stocks change, which is currently estimated by treating all agricultural areas as one, by sub-land classification to implement a dynamic carbon cycle model. This study suggests a detailed guideline and advanced methods of carbon stock change calculation for perennial woody crops, which supports 2050 Carbon Neutral Strategy of Ministry of Agriculture, Food, and Rural Affairs and activate related research in agricultural sector.