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Remote sensing application in rangeland monitoring and management
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3 gis day
- 2. 2 АГУУЛГА
- 3. ХЭРЭГЛЭЭ 3 2
- 4. БЭЛЧЭЭРИЙН ЧАНАРЫН ҮНЭЛГЭЭ 4 •ГА-ийн ургац •Тэжээлийн нэгж •Шингэх протейн Олон улсад чанарын нэлгээгү тохиромжтой байдлын нэлгээ гэдэг.ү Олон улсад чанарын нэлгээгү тохиромжтой байдлын нэлгээ гэдэг.ү
- 5. БЭЛЧЭЭРИЙН ТӨЛӨВ БАЙДАЛ, МОНИТОРИНГ 5 Гадаргын төрх байдал Бэлчээрийн талхагдал Бэлчээрийн доройтол Ургацын хэмжээ Зүйлийн бүрэлдэхүүн, төрөл, анги
- 6. БЭЛЧЭЭРИЙН МЕНЕЖМЕНТ , ТӨЛӨВЛӨЛТ 6 Бэлчээр ашиглалт Бэлчээрийн чанарын ба тохиромжтой байдлын үнэлгээ Бэлчээрийн төлөв байдлын судалгаа Цаг уур Усан хангамж гэх мэт
- 8. 8 БЭЛЧЭЭРИЙН УРГАЦ ТОДОРХОЙЛОХ REMOTE SENSING БэлчээрБэлчээр Processing Station Analysis Application Energy Source Sensor
- 11. 11
- 13. АНГИЛАЛ 13
- 14. АНГИЛАЛ 14
- 16. STUDY AREA 2007-2008 MSUA/JIRCAS grazing experimental site (23ha) 2009-2011 2012, Bornuur and Bayandelger 2013, Zuunbayan-Ulaan and Ulziit
- 17. Хиймэл дагуул Газрын хэмжилт АШИГЛАСАН МЭДЭЭ Satellite Resolution (pixel size) Color (MS) B&W (Pan) QuickBird 2.4 m 0.6 m FORMOSAT-2 8.0 m 2.0 m LANDSAT 30 m 30 m MODIS NDVI 250 m 250 m
- 18. Capture high-resolution satellite images Pre- processing NDVI Cross- checking Biomass (g/m2 )=375.37*NDVI-68.08 Reasonable correlation Correlation Pasture biomass map Result 3 Result 5 Original data (2007 -2009) Processed high-resolution satellite images, (2007-2009) Aboveground biomass data MODIS NDVI (2000 -2010) Result 1 Close range data Cross- checking Correlation Result 2 Cross validation Correlation Result 4 18 Ургац тооцох томьёо
- 19. 19
- 21. 11/23/15The3rdGrassRISKProjectProgressMeeting Бэлчээрийн н цийн зурагөөБэлчээрийн н цийн зурагөө
Editor's Notes
- Good morning ladies and Gentleman. My name is Batbileg. I am a lecturer for Department of Land Management, school of Agrobiology, here at MSUA. In this collaborative research, I am taking part in remote sensing and geographic information systems component. For now, I am particularly working on remote sensing. Today, I will talk about how we are trying to estimate pasture biomass and mapping with remote sensing technology in our project. The title of my talk is “Biomass estimation and mapping with remote sensing technology”.
- Our group focus on development of geospatial information tools for pasture utilization which can contribute to the control of grazing pressure. We are working these three parts. But for now, I would like to talk about estimation of pasture biomass. Doctor Tuvshinbayar talk to pasture carrying capacity map.
- Our group focus on development of geospatial information tools for pasture utilization which can contribute to the control of grazing pressure. We are working these three parts. But for now, I would like to talk about estimation of pasture biomass. Doctor Tuvshinbayar talk to pasture carrying capacity map.
- Our group focus on development of geospatial information tools for pasture utilization which can contribute to the control of grazing pressure. We are working these three parts. But for now, I would like to talk about estimation of pasture biomass. Doctor Tuvshinbayar talk to pasture carrying capacity map.
- Our group focus on development of geospatial information tools for pasture utilization which can contribute to the control of grazing pressure. We are working these three parts. But for now, I would like to talk about estimation of pasture biomass. Doctor Tuvshinbayar talk to pasture carrying capacity map.
- Our group focus on development of geospatial information tools for pasture utilization which can contribute to the control of grazing pressure. We are working these three parts. But for now, I would like to talk about estimation of pasture biomass. Doctor Tuvshinbayar talk to pasture carrying capacity map.
- Mongolia is nomadic animal husbandry. It is dependent on strictly weather condition. So we need to be good pasture resource information. It can help nomadic herders in Mongolia make decisions when and how they can make the next move. Remote sensing methods have been widely used for monitoring and management of pasture resources. Also remote sensing technology has proven useful for this kind of work. For this, it is necessary to know the amount of vegetation using remote sensing.
- Our group focus on development of geospatial information tools for pasture utilization which can contribute to the control of grazing pressure. We are working these three parts. But for now, I would like to talk about estimation of pasture biomass. Doctor Tuvshinbayar talk to pasture carrying capacity map.
- Our group focus on development of geospatial information tools for pasture utilization which can contribute to the control of grazing pressure. We are working these three parts. But for now, I would like to talk about estimation of pasture biomass. Doctor Tuvshinbayar talk to pasture carrying capacity map.
- Our group focus on development of geospatial information tools for pasture utilization which can contribute to the control of grazing pressure. We are working these three parts. But for now, I would like to talk about estimation of pasture biomass. Doctor Tuvshinbayar talk to pasture carrying capacity map.
- Our group focus on development of geospatial information tools for pasture utilization which can contribute to the control of grazing pressure. We are working these three parts. But for now, I would like to talk about estimation of pasture biomass. Doctor Tuvshinbayar talk to pasture carrying capacity map.
- Our group focus on development of geospatial information tools for pasture utilization which can contribute to the control of grazing pressure. We are working these three parts. But for now, I would like to talk about estimation of pasture biomass. Doctor Tuvshinbayar talk to pasture carrying capacity map.
- The objective of this research work is to estimate and develop a procedure to produce maps depicting pasture biomass and distribution. We want to evaluate the effect of different grazing intensity on pasture condition. For this, it is necessary to know the amount of vegetation. If we can always cut and measure the amount of vegetation on the ground, it would be very accurate. But cutting and measuring vegetation over a large area is a lot of work, and is destructive. We want to estimate the amount of vegetation – aboveground biomass in a cost-effective manner, and also without removing them every time. Remote sensing technology has proven useful for this kind of work.
- This slide shows our study area. Every year, we have expanding our study area. This photo shows MSUA/JIRCAS grazing experimental site (23ha). Also this picture shows sampling plots 2009-2011. These grazing experimental site and sampling area located Bornuur soum area. Last year, we collected samples Bornuur and Bayandelger area. This year, our team got samples Uvurkhangai aimag, Zuunbayan-Ulaan and Ulziit area.
- We use one of the world’s finest resolution satellite. Our main remote sensing data source comes from QuickBird satellite. Another data set, which is a backup plan, is coming from FORMOSAT-2 satellite. Also we used standard product MODIS NDVI and LANDSAT satellite from NASA (National Aeronautics and Space Administration), USGS web. Please see their specifications on the slide. Beginning of project, Aboveground biomass data are collected and provided by another group of this project, managed by Shindo-san and Jalbuu. Since 2009, our group collected aboveground biomass. We cut, collect, dry, and weigh vegetation with quadrat sampling method at several locations.
- This figure shows our research flow diagram. I will briefly describe each operation in the following sections.
- This picture shows our pasture biomass map and distribution. In the map we exclude forest coverage. You can see spatial range. The observed ranging is from 0.6 ton/ha to 1.7 ton/ha, which is similar to what was possible with high-resolution satellite image data.
- Our group focus on development of geospatial information tools for pasture utilization which can contribute to the control of grazing pressure. We are working these three parts. But for now, I would like to talk about estimation of pasture biomass. Doctor Tuvshinbayar talk to pasture carrying capacity map.