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LIDAR-based estimation of bole biomass for precision management of an Amazonian forest: Comparisons of ground-based and remotely sensed estimates

机译：基于LIDAR的胆量生物量估算，用于亚马逊森林的精确管理：地面估算与遥感估算的比较

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Figueiredo Evandro Orfanó; dOliveira Marcus Vinicio Neves; Braz Evaldo Muñoz; de Almeida Papa Daniel; Fearnside Philip Martin;
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1. LIDAR-based estimation of bole biomass for precision management of an Amazonian forest: Comparisons of ground-based and remotely sensed estimates [J] . Figueiredo Evandro Orfano, Neves dOliveira Marcus Vinicio, Braz Evaldo Munoz, Remote Sensing of Environment: An Interdisciplinary Journal . 2016,第Null期

机译：基于LIDAR的胆量生物量估算，用于亚马逊森林的精确管理：地面估算与遥感估算的比较
2. Identification of forest management types from ground-based and remotely sensed variables and the effects of forest management on forest structure and composition [J] . DOMINIK HESSENMOLLER, JENS NIESCHULZE, NIKOLAS VON LUPKE, Forstarchiv . 2011,第5期

机译：根据地面和遥感变量确定森林经营类型，以及森林经营对森林结构和组成的影响
3. Modelling above-ground live trees biomass and carbon stock estimation of tropical lowland Dipterocarp forest: integration of field-based and remotely sensed estimates [J] . Zaki Nurul Ain Mohd, Abd Latif Zulkiflee, Suratman Mohd Nazip International journal of remote sensing . 2018,第8期

机译：对热带低地龙脑香林的地上活树生物量和碳储量估算进行建模：基于实地和遥感的估算的结合
4. SEASONAL COMPARISON OF REMOTELY SENSED RELATIVE FOREST ECOSYSTEM TEMPERATURE ZONES WITH TOPOGRAPHY AND FOREST BIOMASS IN THE CLEAR SPRINGS WILDERNESS AREA OF THE SHAWNEE NATIONAL FOREST [C] . Daniel R. Unger Forest Service Remote Sensing Applications Conference . 2000

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5. Estimating Aboveground Biomass in Interior Alaska: Statistical Methods for Coupling Remotely Sensed Data with Field Observations to Improve Precision [D] . Babcock, Chad. 2017

机译：估计阿拉斯加内部的地上生物量：将遥感数据与现场观测耦合以提高精度的统计方法
6. A framework for estimating forest disturbance intensity from successive remotely sensed biomass maps: moving beyond average biomass loss estimates [O] . T. C. Hill, C. M. Ryan, M. Williams 2015

机译：从连续的遥感生物量图估算森林干扰强度的框架：超越平均生物量损失的估算
7. A framework for estimating forest disturbance intensity from successive remotely sensed biomass maps: moving beyond average biomass loss estimates [O] . T. C. Hill, C. M. Ryan, M. Williams 2015

机译：从连续的遥感生物量图估算森林干扰强度的框架：超越平均生物量损失的估算

LIDAR-based estimation of bole biomass for precision management of an Amazonian forest: Comparisons of ground-based and remotely sensed estimates

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