Get quick answers to your questions about the article from our AI researcher chatbot
{'id': 'https://openalex.org/W4382519619', 'doi': 'https://doi.org/10.11834/jrs.20210246', 'title': 'Analysis of estimation models of plantation stand heights using UAV LiDAR', 'display_name': 'Analysis of estimation models of plantation stand heights using UAV LiDAR', 'publication_year': 2022, 'publication_date': '2022-01-01', 'ids': {'openalex': 'https://openalex.org/W4382519619', 'doi': 'https://doi.org/10.11834/jrs.20210246'}, 'language': 'en', 'primary_location': {'is_oa': True, 'landing_page_url': 'https://doi.org/10.11834/jrs.20210246', 'pdf_url': 'http://www.ygxb.ac.cn/rc-pub/front/front-article/download?siteId=91&id=10705530&attachType=lowqualitypdf&token=&language=zh', 'source': {'id': 'https://openalex.org/S2764468969', 'display_name': 'National Remote Sensing Bulletin', 'issn_l': '1007-4619', 'issn': ['1007-4619', '2095-9494'], 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/P4310319982', 'host_organization_name': 'Science Press', 'host_organization_lineage': ['https://openalex.org/P4310319982'], 'host_organization_lineage_names': ['Science Press'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': True, 'oa_status': 'bronze', 'oa_url': 'http://www.ygxb.ac.cn/rc-pub/front/front-article/download?siteId=91&id=10705530&attachType=lowqualitypdf&token=&language=zh', 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5041700775', 'display_name': 'M. Li', 'orcid': None}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Mei LI', 'raw_affiliation_strings': [], 'affiliations': []}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5039734696', 'display_name': 'Q. Liu', 'orcid': None}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Qingwang LIU', 'raw_affiliation_strings': [], 'affiliations': []}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5087790688', 'display_name': 'Yiming FENG', 'orcid': None}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Yiming FENG', 'raw_affiliation_strings': [], 'affiliations': []}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5078546765', 'display_name': 'Zengyuan LI', 'orcid': None}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Zengyuan LI', 'raw_affiliation_strings': [], 'affiliations': []}], 'institution_assertions': [], 'countries_distinct_count': 0, 'institutions_distinct_count': 0, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 0.278, 'has_fulltext': True, 'fulltext_origin': 'pdf', 'cited_by_count': 5, 'citation_normalized_percentile': {'value': 0.618627, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 84, 'max': 86}, 'biblio': {'volume': '26', 'issue': '12', 'first_page': '2665', 'last_page': '2678'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T11164', 'display_name': 'Mapping Forests with Lidar Remote Sensing', 'score': 0.9991, 'subfield': {'id': 'https://openalex.org/subfields/2305', 'display_name': 'Environmental Engineering'}, 'field': {'id': 'https://openalex.org/fields/23', 'display_name': 'Environmental Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T11164', 'display_name': 'Mapping Forests with Lidar Remote Sensing', 'score': 0.9991, 'subfield': {'id': 'https://openalex.org/subfields/2305', 'display_name': 'Environmental Engineering'}, 'field': {'id': 'https://openalex.org/fields/23', 'display_name': 'Environmental Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T10111', 'display_name': 'Remote Sensing in Vegetation Monitoring and Phenology', 'score': 0.9909, 'subfield': {'id': 'https://openalex.org/subfields/2303', 'display_name': 'Ecology'}, 'field': {'id': 'https://openalex.org/fields/23', 'display_name': 'Environmental Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T13890', 'display_name': 'Applications of Remote Sensing in Geoscience and Agriculture', 'score': 0.9667, 'subfield': {'id': 'https://openalex.org/subfields/1902', 'display_name': 'Atmospheric Science'}, 'field': {'id': 'https://openalex.org/fields/19', 'display_name': 'Earth and Planetary Sciences'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/tree-height-estimation', 'display_name': 'Tree Height Estimation', 'score': 0.603464}, {'id': 'https://openalex.org/keywords/lidar-remote-sensing', 'display_name': 'Lidar Remote Sensing', 'score': 0.571403}, {'id': 'https://openalex.org/keywords/vegetation-monitoring', 'display_name': 'Vegetation Monitoring', 'score': 0.545453}, {'id': 'https://openalex.org/keywords/spatial-pattern-analysis', 'display_name': 'Spatial Pattern Analysis', 'score': 0.537779}, {'id': 'https://openalex.org/keywords/biomass-estimation', 'display_name': 'Biomass Estimation', 'score': 0.534134}], 'concepts': [{'id': 'https://openalex.org/C51399673', 'wikidata': 'https://www.wikidata.org/wiki/Q504027', 'display_name': 'Lidar', 'level': 2, 'score': 0.8423315}, {'id': 'https://openalex.org/C62649853', 'wikidata': 'https://www.wikidata.org/wiki/Q199687', 'display_name': 'Remote sensing', 'level': 1, 'score': 0.6676288}, {'id': 'https://openalex.org/C96250715', 'wikidata': 'https://www.wikidata.org/wiki/Q965330', 'display_name': 'Estimation', 'level': 2, 'score': 0.56188655}, {'id': 'https://openalex.org/C39432304', 'wikidata': 'https://www.wikidata.org/wiki/Q188847', 'display_name': 'Environmental science', 'level': 0, 'score': 0.55492365}, {'id': 'https://openalex.org/C153294291', 'wikidata': 'https://www.wikidata.org/wiki/Q25261', 'display_name': 'Meteorology', 'level': 1, 'score': 0.40631}, {'id': 'https://openalex.org/C205649164', 'wikidata': 'https://www.wikidata.org/wiki/Q1071', 'display_name': 'Geography', 'level': 0, 'score': 0.33776844}, {'id': 'https://openalex.org/C127413603', 'wikidata': 'https://www.wikidata.org/wiki/Q11023', 'display_name': 'Engineering', 'level': 0, 'score': 0.07622972}, {'id': 'https://openalex.org/C201995342', 'wikidata': 'https://www.wikidata.org/wiki/Q682496', 'display_name': 'Systems engineering', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': True, 'landing_page_url': 'https://doi.org/10.11834/jrs.20210246', 'pdf_url': 'http://www.ygxb.ac.cn/rc-pub/front/front-article/download?siteId=91&id=10705530&attachType=lowqualitypdf&token=&language=zh', 'source': {'id': 'https://openalex.org/S2764468969', 'display_name': 'National Remote Sensing Bulletin', 'issn_l': '1007-4619', 'issn': ['1007-4619', '2095-9494'], 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/P4310319982', 'host_organization_name': 'Science Press', 'host_organization_lineage': ['https://openalex.org/P4310319982'], 'host_organization_lineage_names': ['Science Press'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}], 'best_oa_location': {'is_oa': True, 'landing_page_url': 'https://doi.org/10.11834/jrs.20210246', 'pdf_url': 'http://www.ygxb.ac.cn/rc-pub/front/front-article/download?siteId=91&id=10705530&attachType=lowqualitypdf&token=&language=zh', 'source': {'id': 'https://openalex.org/S2764468969', 'display_name': 'National Remote Sensing Bulletin', 'issn_l': '1007-4619', 'issn': ['1007-4619', '2095-9494'], 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/P4310319982', 'host_organization_name': 'Science Press', 'host_organization_lineage': ['https://openalex.org/P4310319982'], 'host_organization_lineage_names': ['Science Press'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 55, 'referenced_works': ['https://openalex.org/W1452467712', 'https://openalex.org/W1522525389', 'https://openalex.org/W1939619463', 'https://openalex.org/W1966946865', 'https://openalex.org/W1967094826', 'https://openalex.org/W2000552749', 'https://openalex.org/W2006264326', 'https://openalex.org/W2017131791', 'https://openalex.org/W2019126302', 'https://openalex.org/W2021793377', 'https://openalex.org/W2022224360', 'https://openalex.org/W2054397552', 'https://openalex.org/W2059862423', 'https://openalex.org/W2061587573', 'https://openalex.org/W2088553126', 'https://openalex.org/W2091084944', 'https://openalex.org/W2093540905', 'https://openalex.org/W2101365296', 'https://openalex.org/W2120914348', 'https://openalex.org/W2121212061', 'https://openalex.org/W2137933418', 'https://openalex.org/W2158411533', 'https://openalex.org/W2168178486', 'https://openalex.org/W2229870314', 'https://openalex.org/W2296685749', 'https://openalex.org/W2337442676', 'https://openalex.org/W2342299051', 'https://openalex.org/W2371502036', 'https://openalex.org/W239349999', 'https://openalex.org/W2523609223', 'https://openalex.org/W2537499819', 'https://openalex.org/W2557040271', 'https://openalex.org/W2561205583', 'https://openalex.org/W2570161650', 'https://openalex.org/W2589819276', 'https://openalex.org/W2608232466', 'https://openalex.org/W2757142005', 'https://openalex.org/W2790544330', 'https://openalex.org/W2796674096', 'https://openalex.org/W2799703355', 'https://openalex.org/W2810877939', 'https://openalex.org/W2900062227', 'https://openalex.org/W2900142898', 'https://openalex.org/W2934121071', 'https://openalex.org/W2990294132', 'https://openalex.org/W3045419982', 'https://openalex.org/W3097207090', 'https://openalex.org/W3130653095', 'https://openalex.org/W4235001167', 'https://openalex.org/W4383002823', 'https://openalex.org/W4383571053', 'https://openalex.org/W4385525096', 'https://openalex.org/W4385533509', 'https://openalex.org/W4385536159', 'https://openalex.org/W584848222'], 'related_works': ['https://openalex.org/W3011451421', 'https://openalex.org/W2899084033', 'https://openalex.org/W2748952813', 'https://openalex.org/W2487834875', 'https://openalex.org/W2351984678', 'https://openalex.org/W2172971994', 'https://openalex.org/W2140032575', 'https://openalex.org/W2094658701', 'https://openalex.org/W2001618165', 'https://openalex.org/W1964041166'], 'abstract_inverted_index': {'中国人工林面积居世界第一,精确地对人工林结构进行监测具有重要意义。本研究以内蒙古自治区赤峰市旺业甸林场内的落叶松和油松人工林为研究对象,利用无人机激光雷达LiDAR': [0], '(Light': [1], 'Detection': [2], 'And': [3], "Ranging)离散点云数据和地面样地调查数据对人工林林分高进行建模,通过点云特征变量与地面测量的6种林分高(包括:Lorey's高、算术平均高、最大高、优势树高、中位数高和树冠面积加权高)间的Pearson's相关性筛选自变量,然后利用全子集回归构建不同林分高估测模型,并采用交叉检验法进行精度评价。结果表明:激光雷达点云高度百分位数与不同林分高相关性均较高,通过一元线性回归构建的不同林分高结果最优,且估测模型的自变量均为高度特征变量。Lorey's高(R2=0.91—0.97,rRMSE=2.75%—3.96%)、优势树高(R2=0.86—0.97,rRMSE=3.72%—3.83%)和树冠面积加权高(R2=0.86—0.96,rRMSE=3.81%—4.73%)估测精度最高,算术平均高(R2=0.85—0.94,rRMSE=4.52%—6.07%)和中位数高(R2=0.80—0.95,rRMSE=5.37%—7.34%)次之,最大高(R2=0.69—0.87,rRMSE=6.19%—8.09%)最低。针对不同森林类型,落叶松人工林林分高估测精度最优,优于不区分森林类型模型的估测精度(ΔR2=0—0.05,ΔrRMSE=-0.69%—1.97%),优于油松林林分高模型的估测精度(ΔR2=0.06—0.18,ΔrRMSE=‒1.90%—1.13%)。无人机激光雷达可以用于估测北方温带针叶林的林分高,能够满足人工林资源调查快速、精确的要求。": [4]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W4382519619', 'counts_by_year': [{'year': 2024, 'cited_by_count': 2}, {'year': 2023, 'cited_by_count': 1}], 'updated_date': '2024-09-14T15:18:33.906257', 'created_date': '2023-06-30'}