A case study using remote sensing data to compare biophysical properties of a forest and an urban area in Northern Alabama, USA

Chen, Xiongwen

doi:10.1080/10549811.2016.1166969

Cited by 8 publications

(2 citation statements)

References 42 publications

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“…Recent results from the longleaf pine watershed research indicate that the mean annual evapotranspiration ranged from 700 to 1100 mm [18], which is close to our results from 790 to 900 mm. Similar techniques were used to study the effects of forests on local environmental processes [32,33]. The detailed meaning of each physical index is listed here.…”

Section: Water Consumption and Related Datamentioning

confidence: 99%

Patterns of Water Consumption in Longleaf Pine Restoration Areas and the Relationship with Cone Production

Chen,

Willis,

Guo

2023

Forests

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Monitoring water consumption dynamics across the geographic range of an ecosystem may indicate the possible variation and stress in a biome. Here, model output data based on remote sensing (1979–2022) were used to examine the water consumption dynamics and effects on cone production in three geographic margins in the longleaf pine’s range (i.e., Bladen Lake State Forest, Escambia Experimental Forest, and Kisatchie National Forest) under varying climatic conditions. Results indicated that the mean annual transpiration at Escambia was approximately 431 mm and that at Bladen and Kisatchie was 500 mm. Mean monthly transpiration peaked twice (June and October) at Escambia but only once (August) at Bladen and Kisatchie. The mean annual evapotranspiration ranged from approximately 900 mm at Kisatchie to about 791 mm at Escambia and Bladen. The mean annual transpiration/evapotranspiration ratio was about 0.65 at Bladen and 0.55 at Escambia and Kisatchie. A significant correlation existed between evapotranspiration and specific humidity across the sites on a monthly scale but not on a yearly scale. Significant negative relationships existed between precipitation and the ratios of transpiration/precipitation and evapotranspiration/precipitation on the yearly scale across the sites. Negative power relationships were observed between precipitation and the specific humidity/precipitation ratio on monthly and yearly scales. Cone production was generally highest in years with moderate water consumption. These results provide baseline information on how hydrological and ecological processes of longleaf pine forests interact with climate across broad spatial and temporal scales.

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Section: Water Consumption and Related Datamentioning

confidence: 99%

Patterns of Water Consumption in Longleaf Pine Restoration Areas and the Relationship with Cone Production

Chen,

Willis,

Guo

2023

Forests

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“…Permanently installed towers acquire individual point information but are of particular importance in terms of long-term measurements for the calibration and validation of airborne and space-borne RS data. Linking flux tower systems in an international network (FLUXNET, [50]) supports a better understanding of ecological processes and changes in FH using RS [74,75]. Table 4.…”

Section: Close-range Rs Approaches-towersmentioning

confidence: 99%

Understanding Forest Health with Remote Sensing-Part II—A Review of Approaches and Data Models

et al. 2017

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Stress in forest ecosystems (FES) occurs as a result of land-use intensification, disturbances, resource limitations or unsustainable management, causing changes in forest health (FH) at various scales from the local to the global scale. Reactions to such stress depend on the phylogeny of forest species or communities and the characteristics of their impacting drivers and processes. There are many approaches to monitor indicators of FH using in-situ forest inventory and experimental studies, but they are generally limited to sample points or small areas, as well as being time-and labour-intensive. Long-term monitoring based on forest inventories provides valuable information about changes and trends of FH. However, abrupt short-term changes cannot sufficiently be assessed through in-situ forest inventories as they usually have repetition periods of multiple years. Furthermore, numerous FH indicators monitored in in-situ surveys are based on expert judgement. Remote sensing (RS) technologies offer means to monitor FH indicators in an effective, repetitive and comparative way. This paper reviews techniques that are currently used for monitoring, including close-range RS, airborne and satellite approaches. The implementation of optical, RADAR and LiDAR RS-techniques to assess spectral traits/spectral trait variations (ST/STV) is described in detail. We found that ST/STV can be used to record indicators of FH based on RS. Therefore, the ST/STV approach provides a framework to develop a standardized monitoring concept for FH indicators using RS techniques that is applicable to future monitoring programs. It is only through linking in-situ and RS approaches that we will be able to improve our understanding of the relationship between stressors, and the associated spectral responses in order to develop robust FH indicators.

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A Range of Earth Observation Techniques for Assessing Plant Diversity

Lausch

Heurich

Magdon

et al. 2020

Remote Sensing of Plant Biodiversity

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Vegetation diversity and health is multidimensional and only partially understood due to its complexity. So far there is no single monitoring approach that can sufficiently assess and predict vegetation health and resilience. To gain a better understanding of the different remote sensing (RS) approaches that are available, this chapter reviews the range of Earth observation (EO) platforms, sensors, and techniques for assessing vegetation diversity. Platforms include close-range EO platforms, spectral laboratories, plant phenomics facilities, ecotrons, wireless sensor networks (WSNs), towers, air- and spaceborne EO platforms, and unmanned aerial systems (UAS). Sensors include spectrometers, optical imaging systems, Light Detection and Ranging (LiDAR), and radar. Applications and approaches to vegetation diversity modeling and mapping with air- and spaceborne EO data are also presented. The chapter concludes with recommendations for the future direction of monitoring vegetation diversity using RS.

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A case study using remote sensing data to compare biophysical properties of a forest and an urban area in Northern Alabama, USA

Cited by 8 publications

References 42 publications

Patterns of Water Consumption in Longleaf Pine Restoration Areas and the Relationship with Cone Production

Patterns of Water Consumption in Longleaf Pine Restoration Areas and the Relationship with Cone Production

Understanding Forest Health with Remote Sensing-Part II—A Review of Approaches and Data Models

A Range of Earth Observation Techniques for Assessing Plant Diversity

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