Preprints

Filtering by Subject: Remote Sensing

A roadmap toward scalably quantifying field-level agricultural carbon outcome

Kaiyu Guan, Zhenong Jin, Evan H. DeLucia, et al.

Published: 2022-01-01
Subjects: Environmental Studies, Physical and Environmental Geography, Remote Sensing, Social and Behavioral Sciences

Climate change, fire return intervals and the growing risk of permanent forest loss in boreal Eurasia

Arden L Burrell, Qiaoqi Sun, Robert Baxter, et al.

Published: 2021-11-15
Subjects: Climate, Environmental Indicators and Impact Assessment, Environmental Monitoring, Other Environmental Sciences, Physical and Environmental Geography, Remote Sensing, Spatial Science

Climate change has driven an increase in the frequency and severity of fires in Eurasian boreal forests. A growing number of field studies have linked the change in fire regime to post-fire recruitment failure and permanent forest loss. In this study we used four burnt area and two forest loss datasets to calculate the landscape-scale fire return interval (FRI) and associated risk of permanent [...]

Forest data to insights and experiences using gamification

Mikko Vastaranta, Michael A. Wulder, Juho Hamari, et al.

Published: 2021-10-22
Subjects: Geographic Information Sciences, Geography, Nature and Society Relations, Remote Sensing, Social and Behavioral Sciences

The Challenge of Spatial Information Accessibility for Agricultural Policies: Case of Pakistan

Asmat Ali, Muhammad Imran

Published: 2021-10-11
Subjects: Agricultural Science, Databases and Information Systems, Geographic Information Sciences, Natural Resources Management and Policy, Remote Sensing, Spatial Science, Water Resource Management

Agriculture is directly linked to the socioeconomic development of every region. Agriculture impacts us all, whether we are seeking food security, better health or striving to conserve natural resources. Goal 2 of Sustainable Development Goals (SDGs) underlines the significance of agriculture as a means to achieve food security. United Nations in its recently published report titled "World [...]

Classification of Multi-temporal Images using Machine Learning

Simranjit Singh Pabla, Mandeep Singh Mandla, Hardik Narendra, et al.

Published: 2021-10-05
Subjects: Remote Sensing

In past, there has been a lot of research related to the image-based technique in remote sensing from which object-based classification is giving great results among all the techniques. This paper presents a new approach where we have mixed both OBIA (Object-Based Image Analysis) & supervised classification. And with this novel approach, our team aims to do classification as well as analysis for [...]

Tree cover change proves stability and instability in tropical ecosystems

Chandrakant Singh, Ruud van der Ent, Lan Wang-Erlandsson, et al.

Published: 2021-09-17
Subjects: Earth Sciences, Ecology and Evolutionary Biology, Forest Biology, Hydrology, Remote Sensing

The resilience of terrestrial ecosystems is predominantly based on space-for-time substitution. This substitution assumes that the contemporary spatial frequency distribution of ecosystems’ tree cover structure holds across time. However, this assumption is problematic, especially when temporal dynamics and adaptations are increasingly important to explicitly account for ongoing rapid changes [...]

Safety and Belonging in the Field: A Checklist for Educators

Sarah E Greene, Gwen S. Antell, Jake Atterby, et al.

Published: 2021-08-19
Subjects: Atmospheric Sciences, Biogeochemistry, Climate, Cosmochemistry, Earth Sciences, Education, Environmental Education, Environmental Health and Protection, Environmental Indicators and Impact Assessment, Environmental Monitoring, Environmental Sciences, Environmental Studies, Fresh Water Studies, Geochemistry, Geographic Information Sciences, Geography, Geology, Geomorphology, Geophysics and Seismology, Glaciology, Higher Education, Human Geography, Hydrology, Life Sciences, Meteorology, Mineral Physics, Natural Resource Economics, Natural Resources and Conservation, Natural Resources Management and Policy, Nature and Society Relations, Oceanography, Oceanography and Atmospheric Sciences and Meteorology, Oil, Gas, and Energy, Other Earth Sciences, Other Environmental Sciences, Other Geography, Other Oceanography and Atmospheric Sciences and Meteorology, Other Planetary Sciences, Outdoor Education, Paleobiology, Paleontology, Physical and Environmental Geography, Physical Sciences and Mathematics, Planetary Biogeochemistry, Planetary Geochemistry, Planetary Geology, Planetary Geomorphology, Planetary Geophysics and Seismology, Planetary Glaciology, Planetary Hydrology, Planetary Mineral Physics, Planetary Sciences, Planetary Sedimentology, Remote Sensing, Sedimentology, Social and Behavioral Sciences, Soil Science, Spatial Science, Speleology, Stratigraphy, Sustainability, Tectonics and Structure, Volcanology, Water Resource Management

Ensuring taught fieldwork is a positive, generative, collective, and valuable experience for all participants requires considerations beyond course content. To guarantee safety and belonging, participants’ identities (backgrounds and protected characteristics) must be considered as a part of fieldwork planning and implementation. Furthermore, getting fieldwork right is an important step in [...]

Airborne methane surveys pay for themselves: An economic case study of increased revenue from emissions control

Forrest Johnson, Andrew Wlazlo, Ryan Keys, et al.

Published: 2021-07-15
Subjects: Environmental Monitoring, Natural Resource Economics, Oil, Gas, and Energy, Remote Sensing

We present an economic analysis of an emissions monitoring and capture program for a mid-sized Permian Basin operator, Triple Crown Resources (“Triple Crown”). Data from this campaign was gathered using repeat airborne surveys provided by Kairos Aerospace (“Kairos”). Key findings include: - The total volume of detected emissions from Triple Crown operations decreased by 70% from the first to the [...]

Agricultural Sandbox NL: A national-scale database of parcel-level, processed Sentinel-1 SAR data

Vineet Kumar, Manuel Huber, Bjorn Rommen, et al.

Published: 2021-07-15
Subjects: Databases and Information Systems, Geographic Information Sciences, Remote Sensing, Spatial Science

Synthetic Aperture Radar (SAR) data handling, processing, and interpretation are barriers preventing a rapid uptake of SAR data by application specialists and non-expert domain users in the field of agricultural monitoring. To improve the accessibility of Sentinel-1 data, we have generated a reduced-volume, multi-year Sentinel-1 SAR database. It includes mean and standard deviation of VV, VH and [...]

A field guide for monitoring riverine macroplastic entrapment in water hyacinths

Louise Schreyers, Tim van Emmerik, Thanh Luan Nguyen, et al.

Published: 2021-06-01
Subjects: Environmental Monitoring, Fresh Water Studies, Hydrology, Remote Sensing

River plastic pollution is an environmental challenge of growing concern. However, there are still many unknowns related to the principal drivers of river plastic transport. Floating aquatic vegetation, such as water hyacinths, have been found to aggregate and carry large amounts of plastic debris in tropical river systems. Monitoring the entrapment of plastics in hyacinths is therefore crucial [...]

High resolution, annual maps of field boundaries for smallholder-dominated croplands at national scales

Lyndon D Estes, Su Ye, Lei Song, et al.

Published: 2021-03-12
Subjects: Agriculture, Environmental Monitoring, Environmental Sciences, Geographic Information Sciences, Geography, Life Sciences, Natural Resources and Conservation, Physical and Environmental Geography, Physical Sciences and Mathematics, Remote Sensing, Spatial Science, Sustainability

Mapping the characteristics of Africa's smallholder-dominated croplands, including the sizes and numbers of fields, can provide critical insights into food security and a range of other socioeconomic and environmental concerns. However, accurately mapping these systems is difficult because there is 1) a spatial and temporal mismatch between satellite sensors and smallholder fields, and 2) a lack [...]

Linkage between the Forest Fires and the Meteorological Parameters during the current climatic regime using Spatial Clustering, Regression, and Combination Matrix Analysis

Manish Pandey, Aman Arora, Masood A Siddiqui, et al.

Published: 2021-02-25
Subjects: Geographic Information Sciences, Geography, Physical and Environmental Geography, Remote Sensing, Spatial Science

The present study has been carried out to assess the spatial behaviour of forest fire count (FFC) data and Climate Forecast System Reanalysis (CFSR) derived meteorological parameters in Uttar Pradesh to explore the linkages amongst them. Ten years (2005 to 2014) of forest fire event data and of meteorological data have been analysed using GIS overlay, ordinary least square (OLS) regression, [...]

Plastic plants: Water hyacinths as driver of plastic transport in tropical rivers

Louise Schreyers, Tim van Emmerik, Thanh Luan Nguyen, et al.

Published: 2021-01-14
Subjects: Environmental Monitoring, Fresh Water Studies, Hydrology, Remote Sensing, Spatial Science

Recent studies suggest that water hyacinths play an important role in the transport of macroplastics in freshwater ecosystems. Forming large patches of several meters at the water surface, water hyacinths tend to entrain and aggregate large amounts of floating debris, including plastic items. Research on this topic is still novel and few studies have quantified the role of the water hyacinths in [...]

Optimizing Crop Cut Collection for Determining Field-Scale Yields in an Insurance Context

Ritvik Sahajpal, Inbal Becker-Reshef, Sylvain Coutu

Published: 2020-11-10
Subjects: Geographic Information Sciences, Geography, Other Engineering, Remote Sensing, Spatial Science

Accurately determining crop yields at field-scale can help farmers estimate their net profit, enable insurance companies to ascertain payouts, and when aggregated at regional and national scales, crop yield estimates are critical in ensuring food security. Over the last few decades, crop cuts have been widely used to estimate field-scale crop yields. Crop cuts, while cost prohibitive, are the [...]

Using Machine-Learning Models for Field-Scale Crop Yield and Condition Modeling in Argentina

Ritvik Sahajpal, Lucas Fontana, Pedro Lafluf, et al.

Published: 2020-11-09
Subjects: Environmental Studies, Geographic Information Sciences, Remote Sensing, Spatial Science

Accurately determining crop growth progress and crop yields at field-scale can help farmers estimate their net profit, enable insurance compa-nies to ascertain payouts, and help in ensuring food security. At field scales, the troika of management, soil and weather combine to impact crop growth pro-gress, and this progress can be monitored in-season using satellite data. Here, we use satellite [...]

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