神马智慧林业模型

该模型由国储林建设算法与生态核查算法组成，基于林木因子计算、蓄积变化分析、经营强度判断和碳汇测算等核心规则构建：
1.林木因子计算：利用树高、胸径、龄组等因子，基于区域生长方程估算单木材积、小班蓄积及年度生长量。
2.蓄积变化分析：通过多期地面调查与遥感影像，计算蓄积增减、生长率及采伐限额核查值。
3.经营与抚育规则：依据林龄、树种和立地条件，自动生成疏伐强度、抚育方式和年度经营建议。
4.生态核查算法：基于影像变化识别采伐痕迹、破坏区域和林相变化，与小班数据自动匹配校核。

This model comprises National Strategic Reserved Forest construction algorithms and ecological verification algorithms, and is built upon core rules including tree factor calculation, stock change analysis, management intensity assessment and carbon sequestration estimation:
1. Tree Factor Calculation: Using factors such as tree height, diameter at breast height (DBH) and age group, single-tree volume, forest compartment stock and annual growth are estimated based on regional growth equations.
2. Stock Change Analysis: Calculating stock increments/decrements, growth rates and harvesting quota verification values through multi-temporal ground surveys and remote sensing images.
3. Management and Tending Rules: Automatically generating thinning intensity, tending measures and annual management suggestions based on forest age, tree species and site conditions.
4. Ecological Verification Algorithm: Identifying logging traces, damaged areas and forest stand changes via image change detection, and automatically matching and verifying with forest compartment data.

搜集汇总

背景与挑战

背景概述

该数据集为'神马智慧林业模型'，规模30GB，每月更新，由贵州神马勘测设计有限责任公司自行开发。它专用于林业管理，包括国家储备林建设、森林资源监测和碳汇评估等场景，基于林木因子计算和蓄积变化分析等算法，支持小班管理和生态核查任务。