Search Results - "Ronald McRoberts"

Estimating forest attribute parameters for small areas using nearest neighbors techniques by McRoberts, Ronald E.

“…► Nearest neighbors techniques produce valid small area estimates and inferences. ► The Euclidean distance metric performs as well as optimized metrics. ► The…”
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Satellite image-based maps: Scientific inference or pretty pictures? by McRoberts, Ronald E.

“…The scientific method has been characterized as having two distinct components, Discovery and Justification. Discovery emphasizes ideas and creativity, focuses…”
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Probability- and model-based approaches to inference for proportion forest using satellite imagery as ancillary data by McRoberts, Ronald E.

“…Estimates of forest area are among the most common and useful information provided by national forest inventories. The estimates are used for local and…”
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Effects of Uncertainty in Model Predictions of Individual Tree Volume on Large Area Volume Estimates by McRoberts, Ronald E., Westfall, James A.

“…Forest inventory estimates of tree volume for large areas are typically calculated by adding model predictions of volumes for individual trees. However, the…”
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Empirical coverage of model-based variance estimators for remote sensing assisted estimation of stand-level timber volume by Breidenbach, Johannes, McRoberts, Ronald E., Astrup, Rasmus

“…Due to the availability of good and reasonably priced auxiliary data, the use of model-based regression-synthetic estimators for small area estimation is…”
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Forest aboveground biomass mapping and estimation across multiple spatial scales using model-based inference by Chen, Qi, McRoberts, Ronald E., Wang, Changwei, Radtke, Philip J.

“…Remotely sensed data have been widely used in recent years for mapping and estimating biomass. However, the characterization of the uncertainty of mapped or…”
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Land Use/Land Cover Mapping Using Multitemporal Sentinel-2 Imagery and Four Classification Methods—A Case Study from Dak Nong, Vietnam by Nguyen, Huong Thi Thanh, Doan, Trung Minh, Tomppo, Erkki, McRoberts, Ronald E.

“…Information on land use and land cover (LULC) including forest cover is important for the development of strategies for land planning and management. Satellite…”
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Mitigating the effects of omission errors on area and area change estimates by Olofsson, Pontus, Arévalo, Paulo, Espejo, Andres B., Green, Carly, Lindquist, Erik, McRoberts, Ronald E., Sanz, María J.

“…Information on Earth's land surface and change over time has never been easier to obtain, but making informed decisions to manage land well necessitates that…”
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Inference for lidar-assisted estimation of forest growing stock volume by McRoberts, Ronald E., Næsset, Erik, Gobakken, Terje

“…Estimates of growing stock volume are reported by the national forest inventories (NFI) of most countries and may serve as the basis for aboveground biomass…”
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Integrating airborne laser scanning data, space-borne radar data and digital aerial imagery to estimate aboveground carbon stock in Hyrcanian forests, Iran by Poorazimy, Maryam, Shataee, Shaban, McRoberts, Ronald E., Mohammadi, Jahangir

“…A framework for estimating aboveground forest carbon stock (AFCS) is required for measurement, reporting, and verification (MRV) systems under the United…”
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Estimating Forest Volume and Biomass and Their Changes Using Random Forests and Remotely Sensed Data by Esteban, Jessica, McRoberts, Ronald, Fernández-Landa, Alfredo, Tomé, José, Nӕsset, Erik

“…Despite the popularity of random forests (RF) as a prediction algorithm, methods for constructing confidence intervals for population means using this…”
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A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data by Chirici, Gherardo, Mura, Matteo, McInerney, Daniel, Py, Nicolas, Tomppo, Erkki O., Waser, Lars T., Travaglini, Davide, McRoberts, Ronald E.

“…The k-Nearest Neighbors (k-NN) technique is a popular method for producing spatially contiguous predictions of forest attributes by combining field and…”
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A questionnaire-based review of the operational use of remotely sensed data by national forest inventories by Barrett, Frank, McRoberts, Ronald E., Tomppo, Erkki, Cienciala, Emil, Waser, Lars T.

“…We report on the operational use of remotely sensed data by national forest inventory (NFI) programmes in 45 countries representing approximately 65% of the…”
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Post-classification approaches to estimating change in forest area using remotely sensed auxiliary data by McRoberts, Ronald E.

“…Multiple remote sensing-based approaches to estimating gross afforestation, gross deforestation, and net deforestation are possible. However, many of these…”
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The Three Indices Three Dimensions (3I3D) algorithm: a new method for forest disturbance mapping and area estimation based on optical remotely sensed imagery by Francini, Saverio, McRoberts, Ronald E., Giannetti, Francesca, Marchetti, Marco, Scarascia Mugnozza, Giuseppe, Chirici, Gherardo

“…Although estimating forest disturbance area is essential in the context of carbon cycle assessments and for strategic forest planning projects, official…”
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Contribution of large-scale forest inventories to biodiversity assessment and monitoring by Corona, Piermaria, Chirici, Gherardo, McRoberts, Ronald E., Winter, Susanne, Barbati, Anna

“…► Forest inventories do contribute to forest biodiversity monitoring over large areas. ► Tree-related compositional and structural indicators can be reliably…”
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Estimating and mapping forest structural diversity using airborne laser scanning data by Mura, Matteo, McRoberts, Ronald E., Chirici, Gherardo, Marchetti, Marco

“…Among the wide array of terrestrial habitats, forest and wooded lands are the richest from both biological and genetic points of view because of their inherent…”
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Suitability of Global Forest Change data to report forest cover estimates at national level in Gabon by Sannier, Christophe, McRoberts, Ronald E., Fichet, Louis-Vincent

“…For purposes of greenhouse gas emissions (GHG) accounting, estimation of deforestation area in tropical countries often relies on satellite remote sensing in…”
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Optimizing the k-Nearest Neighbors technique for estimating forest aboveground biomass using airborne laser scanning data by McRoberts, Ronald E., Næsset, Erik, Gobakken, Terje

“…Nearest neighbors techniques calculate predictions as linear combinations of observations for a selected number of population units in a sample that are most…”
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The effects of rectification and Global Positioning System errors on satellite image-based estimates of forest area by McRoberts, Ronald E.

“…Satellite image-based maps of forest attributes are of considerable interest and are used for multiple purposes such as international reporting by countries…”
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