Physical Sciences and Mathematics Commons^™

Predicting Forage Provision Of Grasslands Across Climate Zones By Hyperspectral Measurements, F. A. Männer, J. Muro, J. Ferner, S. Schmidtlein, A. Linstädter

IGC Proceedings (1997-2023)

The potential of grasslands’ fodder production is a crucial management measure, while its quantification is still laborious and costly. Remote sensing technologies, such as hyperspectral field measurements, enable fast and non-destructive estimation. However, such methods are still limited in transferability to other locations or climatic conditions. With this study, we aim to predict forage nutritive value, quantity, and energy yield from hyperspectral canopy reflections of grasslands across three climate zones. We took hyperspectral measurements with a field spectrometer from grassland canopies in temperate, tropical and semi-arid grasslands, and analyzed corresponding biomass samples for their quantity (BM), metabolizable energy content (ME) …

Drone And Digital Camera Imagery Estimate C3 And C4 Grass Ratios In Pastures, J. A. Bush, C. D. Teutsch, S. R. Smith, J. C. Henning

IGC Proceedings (1997-2023)

The following study investigates the accuracy and practicality of exploiting the color dichotomy present between C3 and C4 grass species to estimate their respective proportions from drone or camera captured imagery. Understanding the proportions of C3 and C4 grasses in pastures is vital to sound decision making for livestock production. The ability to monitor these proportions remotely will also allow for large scale monitoring as well as detection of changes in botanical composition over time and in response to weather events, management, or climate change. A free green canopy cover (GCC) analyzing software, Canopeo, was used to quantify green plants …

Prospects For Improving Alfalfa Yield Using Genomic- And Phenomic-Based Breeding, M. W. Francis, D. Pap, A. Krill-Brown, E. C. Brummer

IGC Proceedings (1997-2023)

Alfalfa (Medicago sativa L.) is a perennial outcrossing legume that is cultivated as an important forage crop in many parts of the world. Yield is the most important trait for profitable alfalfa production, yet over the last 30 years yield improvement in California has stagnated. Current breeding methods focus on recurrent phenotypic selection; however, alternatives incorporating genomic- and phenomic-based information may enhance genetic gain and help to address the lack of yield improvement. Here we attempt to increase the yield potential of alfalfa using genomic selection (GS) in combination with high throughput phenotyping (HTP). A total of 193 families …

Using Landsat Imagery To Analyse Land Cover Change In The Njoro Watershed, Kenya, T. J. Baldyga, S. N. Miller, K. L. Driese, C. Maina-Gichaba

IGC Proceedings (1997-2023)

In developing nations where resources are scarce and increased population pressures create stress on available resources, methods are needed to examine effects of human migration and resultant changes in land cover. Widespread availability and low cost of remotely sensed imagery and Geographic Information Systems (GIS) are making such methods a reality to develop quantitative resource mapping and land cover change detection in developing nations (Sheng et al., 1997). However, difficulties arise in tropical regions when trying to analyse traditional vegetation bands (Bands 3 and 4), or indices such as NDVI because saturated pixels limit spectral distinction.

Monitoring Air Quality Post-Environmental Disasters Using Remote Sensing, Abigail Kline

Student Symposium

East Palestine Ohio, is a small town that recently suffered from a train derailment carrying a toxic chemical known as vincyl chloride. In addition to the release of this chemical, particulate matter was ejected into the atmosphere following a controlled explosion of the train. Air pollution a major envirnmental hazard that affects human and non-human life, and so the monitoring pollution is extremely important. Remote sensing may be a viable way to monitor, by using readily available satellite data.

Estimating Supraglacial Melt Lake Volume Changes In West Central Greenland Using Multiple Remote Sensing Methods, Wesley Rancher

Student Symposium

The Greenland Ice Sheet (GrIS) is losing ice mass as the climate warms. Supraglacial melt lakes (SGLs), which are present in the ablation (melt) zone of the GrIS are found to be responsive - and reinforce - changes in glaciological and climatological dynamics. Developing a spatiotemporal model to monitor lake volume change throughout the melt season (late-April through September) can enhance our understanding of subsequent GrIS changes. Supraglacial melt lakes accumulate in volume and in some cases drain to the ice sheet base during the melting season. In this study we utilize Landsat satellite imagery paired with high resolution digital …

A Decision Support System For Rangeland Management In Degrading Environments, R. G. Bennett, F. J. Mitchell

IGC Proceedings (1997-2023)

The continued viability and productivity of commercial and emerging agriculture in KwaZulu-Natal Province, South Africa, depends on the accurate assessment and sustainable utilization of available natural resources. Sustainability implies that growth and development must take place, and be maintained over time, within the limits set by natural ecosystems. Utilizing an extensive GIS database, field surveys and remote sensing technology, a land assessment decision support system (LADSS) has been developed in an attempt to define these limits for the Province. This system has been developed to assess the appropriate use of existing resources as well as the suitability of current land …

Detecting Fauna Habitat In Semi-Arid Grasslands Using Satellite Imagery, N. A. Bruce, Ian D. Lunt, M. Abuzar, M. Mitchell

IGC Proceedings (1997-2023)

Managing grasslands for biodiversity conservation is a relatively recent phenomenon and there is uncertainty over the most effective strategy. Past research has found that intermediate levels of disturbance (e.g. burning or grazing) may be required to maintain the natural mosaic of small-scale patterning required for a diverse range of flora and fauna species. For sustainable grassland management, appropriate methods of spatial assessment and temporal monitoring are required, to facilitate understanding of how past and present climate, land management and landscape features influence vegetation structure. Due to the expense and time-consuming nature of conventional ground-based monitoring, satellite remote-sensing techniques offer a …

Computer-Based Forage Management Tools: Historical, Current, And Future Applications, David B. Hannaway, C. Daly, D. F. Chapman, B. B. Baker, A. S. Cooper

IGC Proceedings (1997-2023)

Forage management has been an important human activity since the beginning of civilization. By comparison, the personal computer has been available only in the immediate past. The software developed to deal with the complexity of climate, soil, plant, animal, and socioeconomic factors has seen huge changes in a few decades. Mainframe computers facilitated numerical calculations for exploring relationships among dozens of variables. Personal computers opened the door for more individual scientist creativity and routine communication. Web-based communication globalised the option for multidisciplinary teams to tackle problems. Forage-related computer applications abound, allowing farmers, ranchers, and others to more effectively manage the …

Land Cover Classification And Change During Mine Reclamation In Northeast Florida Using Multispectral Imagery, Daniel Burow, Robert Brown, Alexis Caldwell, Patrick Hunter, Jett-Ramy Kaddour, Alexander Kingma, Justin Kozicki, Blake Neal, Abigail Neff, Rylan Randolph, Devon Tanner, Isaiah Vahos

Sustainability Conference

Titanium is commonly used in the aerospace industry because it is lightweight and durable in extreme temperatures. The Green Cove Springs Mine, near Green Cove Springs, Florida, was used for mining and processing titanium and other minerals from 1972 until 2009. Since then, the mine area is being reclaimed, or rehabilitated and restored to its natural state, as required by Florida Department of Environmental Protection regulations. In this study, we use high-resolution multispectral satellite and aerial imagery obtained from 2016 to 2022 to examine land cover (LC) changes at the Green Cove Springs Mine during this reclamation period. We use …

Green Canopy Cover Percentage As A Method For Quantifying Andropogon Virginicus (Broomsedge) Reduction Through Fertilizer Applications In A Cool Season Hay Production System, Jordyn A. Bush, Jimmy C. Henning, Christopher D. Teutsch

IGC Proceedings (1997-2023)

Remote sensing has been used to measure green canopy cover for a variety of agronomic purposes. This study explores the use of digital imagery as a method to quantify warm and cool season grasses in a hay production system. Due to alternate growth periods, cool and warm season grasses show greener color in different seasons. These seasonal color shifts provide an opportunity to measure their respective percentages when growing together in a system. This study was conducted in a hay field that was originally dominated by cool season grasses including tall fescue (Festuca arundinacea) and Kentucky bluegrass ( …

Ecological Science Infrastructure For Sustainability Transformations In Rangelands, Brandon T. Bestelmeyer, J. E. Herrick, J. R. Brown, D. M. Browning, B. Densambuu, E. Elias, S. E. Mccord, H. R. Peinetti, S. Spiegal, N. P. Webb, J. C. Williamson

IGC Proceedings (1997-2023)

Sustainability transformations—deliberate and radical shifts in values, governance, and management regimes to achieve sustainability—are needed in rangelands as in other components of the Earth system. We review four concepts comprising an ecological science infrastructure to support such transformations. The foundation is standard measurement of rangeland conditions in the field, especially vegetation and soil properties that underpin the environmental aspects of sustainability. Big data resources, especially gridded spatial datasets produced by models and remote sensing, can be combined with field data and computational approaches to upscale information about rangeland conditions and produce additional indicators of ecosystem functions and services. State and …

Cloud Computing Solution For Monitoring Arid Rangeland Dynamics: Case Of Moroccan Highlands And Southern Acacia Ecosystems, Said Lahssini, Said Moukrim, H. Mharzi-Alaoui, N. Rifai, L. El Mansouri, F. El Wahidi

IGC Proceedings (1997-2023)

The wide availability of free satellite imagery, the recent development of cloud platforms dedicated to big spatial data (Big Data) that integrates both image archives from different providers, processing algorithms, distributed processing capabilities as well as an application programming interface (API) that facilitate scripting and automation process opened new perspectives for the use of vegetation observation time series over long timestamps and over large spatial scales (almost planetary).

This work aims at harnessing these technologies and building up an automated solution to monitor rangeland rehabilitation dynamics in arid lands and to assess the effectiveness of stakeholder’s management strategies. Such solution …

Remote Sensing Application To Grassland Monitoring, Z. B. Nan

IGC Proceedings (1997-2023)

Application of remote sensing to the management of grassland resources, the role this plays in developing sustainable grassland farming systems and opportunities for further development are outlined. Use of remote sensing technologies in grassland monitoring has a history of more than 30 years. Both fine- and coarse-grained remote sensing techniques are used to monitor and study grasslands. Fine-grained techniques are used to study landscape scale processes through the use of sensors providing spatial resolution of a few meters, whereas coarse-grained techniques are used to study catchment scale areas, and even entire biomes, using satellite-based sensors with a spatial resolution of …

Maris: Scalable Online Scenario Development Tool For Rangeland Conservancy Managers Using High Spatial-Temporal Resolution Carrying Capacity Maps And Livestock Market Data, L. G. J. Boerboom, R. O. Ohuru, A. G. Toxopeus, W. Nieuwenhuis, C. A. J. M. De Bie, P. K. Mwangi, M. L. Schouwenburg, R. L. G. Lemmens

IGC Proceedings (1997-2023)

Although the management of livestock numbers within the bounds of carrying capacity of African rangelands is a way to manage risks, both scientists and practitioners, caution against a momentary and local use of carrying capacity as a management indicator. Carrying capacity should be seen in wider spatial and temporal/seasonal context as well as in a social and economic context. Given the large numbers of conservancies across Kenya, and its Maasai Mara region in particular, with many more landowner members, it is difficult for conservancies’ managers to contextualize phenomena such as carrying capacity and market price over space and time.

We …

Use Of Remote Sensing To Guide The Assessment Of Temperate Grassland Degradation In The Territory, M. Martinez

IGC Proceedings (1997-2023)

The methodology Participatory Rangeland and Grassland Assessment (PRAGA), in its baseline phase, more specifically in stage 4, suggests remote sensing to assess at landscape scale. In order to determine the sites to be evaluated, grassland pixels of the Modis sensor were taken into account. Within it, three types of soils were differentiated: superficial, medium and deep, according to the previous existing cartography (2).

Within each soil type, pixels with significant trends (ἀ < 0.05), positive and negative (bright and hot), for the period 2000 -2017, were searched for both, IPSE and RESTREND. Therefore, 6 pixels of the Modis sensor were selected for each landscape.

From the field evaluation it appears that the greatest difference between the bright and hot trends was the height of the forage, and that both are pasture conditions …

"Estimation Of The Primary Net Production Above Ground Through Remote Sensing In A Pastoral System Of The Colombian Altillanura.", R. A. Díaz, M. Álvarez, O. Pérez, J. Bernal, M. Arango

IGC Proceedings (1997-2023)

The primary net production above ground (ANPP) represents the main forage resource that supports the bovine production systems and its valuation is essential to help in the decision making on the management of the pastures. The ANPP has been estimated by periodic biomass courtesy, but with the use of the remote sensor integrated into the efficiency model formulated by Monteih (1972), it has been possible to estimate this biophysical parameter more efficiently at different scales and at low cost. The objective of this study was to estimate the PPNA based on a model of efficiency in the use of light …

Comparison Of Management Effects On Rangelands In Western Usa And Northern Mongolia Using Remote Sensing And Gis, Temuulen Tsagaan Sankey, Keith T. Weber, Corey Moffet

IGC Proceedings (1997-2023)

No abstract provided.

Gradients Of Functionality Of Australian Rangeland Landscapes: Assessing Changes Over Time With Remote Sensing, B. Price, C. Mcalpine, D. Ward, Alexander Kutt, S. Phinn

IGC Proceedings (1997-2023)

No abstract provided.

Remote Sensing Monitoring For The Key Phonological Stages Of Rangeland — A Case Study About Xilingol Grassland, Aijun Liu, Jianguo Han

IGC Proceedings (1997-2023)

No abstract provided.

Measurement Of Remote Sensing In Desert Plants Recovery, Xia Li, Ting Niu, Yebiao Yin

IGC Proceedings (1997-2023)

No abstract provided.

Use Of Remote Sensing Satellite Images To Predict Pasture Biomass On Waikato Dairy Farms, C. Deanne Waugh, David A. Clark, S. F. Petch, G. Mata, A. Edirisinghe, Z. Ward

IGC Proceedings (1997-2023)

No abstract provided.

Rangeland Sustainability Modeling Using Soil Exposure And Soil Moisture Parameters, J. Tibbitts, Keith T. Weber, J. Théau, Temuulen Tsagaan Sankey

IGC Proceedings (1997-2023)

No abstract provided.

The Study Of Method On Estimating Aerial Net Primary Production Of Rangeland By Remote Sensing--A Case Study Of Xilingol Grassland, Aijun Liu, Jingjie Wang

IGC Proceedings (1997-2023)

No abstract provided.

Study On Technical Method Of Remote Sensing Monitoring For Grassland Degradation, Wa Gao, Muse Ji, Xinqiao Duan, Caixia Jin

IGC Proceedings (1997-2023)

No abstract provided.

Mapping And Monitoring Inner Mongolia Rangeland Based On Remote Sensing, Qi Xing, Wa Gao

IGC Proceedings (1997-2023)

No abstract provided.

Study On Benefit Detection Of The Grassland Desertification Control Project In Xianghuang Banner, Inner Mongolia Based On "3s" Technology, Qiuju Wang, Xinhong Wu, Tingting Yang

IGC Proceedings (1997-2023)

No abstract provided.

Monitoring Rangeland Community/Health Change Using Multispectral And Hyperspectral Satellite Data, Nadia Rochdi, Peter Eddy, Jinkai Zhang, Karl Staenz

IGC Proceedings (1997-2023)

No abstract provided.

The Application Of Remote Sensing To Ecosystem Health Assessment In Temperate Rangelands, Xulin Guo, Guodong Han, Xiaohui Yang, Mengli Zhao

IGC Proceedings (1997-2023)

No abstract provided.

Image‐Based Rangeland Monitoring At Multiple Scales, D. T. Booth, A. S. Laliberte, A. Rango, J. E. Herrick

IGC Proceedings (1997-2023)

No abstract provided.