Publication Information

{'id': 'https://openalex.org/W1993239774', 'doi': 'https://doi.org/10.1080/01431161.2014.943325', 'title': 'Crop type identification by integration of high-spatial resolution multispectral data with features extracted from coarse-resolution time-series vegetation index data', 'display_name': 'Crop type identification by integration of high-spatial resolution multispectral data with features extracted from coarse-resolution time-series vegetation index data', 'publication_year': 2014, 'publication_date': '2014-08-18', 'ids': {'openalex': 'https://openalex.org/W1993239774', 'doi': 'https://doi.org/10.1080/01431161.2014.943325', 'mag': '1993239774'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1080/01431161.2014.943325', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S117411352', 'display_name': 'International Journal of Remote Sensing', 'issn_l': '0143-1161', 'issn': ['0143-1161', '1366-5901'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320547', 'host_organization_name': 'Taylor & Francis', 'host_organization_lineage': ['https://openalex.org/P4310320547'], 'host_organization_lineage_names': ['Taylor & Francis'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5074689068', 'display_name': 'Qiangzi Li', 'orcid': 'https://orcid.org/0000-0002-5985-6829'}, 'institutions': [{'id': 'https://openalex.org/I19820366', 'display_name': 'Chinese Academy of Sciences', 'ror': 'https://ror.org/034t30j35', 'country_code': 'CN', 'type': 'government', 'lineage': ['https://openalex.org/I19820366']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Qiangzi Li', 'raw_affiliation_strings': ['State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing100101, China#TAB#'], 'affiliations': [{'raw_affiliation_string': 'State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing100101, China#TAB#', 'institution_ids': ['https://openalex.org/I19820366']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5100681901', 'display_name': 'Xin Cao', 'orcid': 'https://orcid.org/0000-0001-5789-7582'}, 'institutions': [{'id': 'https://openalex.org/I19820366', 'display_name': 'Chinese Academy of Sciences', 'ror': 'https://ror.org/034t30j35', 'country_code': 'CN', 'type': 'government', 'lineage': ['https://openalex.org/I19820366']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Xin Cao', 'raw_affiliation_strings': ['State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing100101, China#TAB#'], 'affiliations': [{'raw_affiliation_string': 'State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing100101, China#TAB#', 'institution_ids': ['https://openalex.org/I19820366']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5063493372', 'display_name': 'Kun Jia', 'orcid': 'https://orcid.org/0000-0001-8586-4243'}, 'institutions': [{'id': 'https://openalex.org/I25254941', 'display_name': 'Beijing Normal University', 'ror': 'https://ror.org/022k4wk35', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I25254941']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Kun Jia', 'raw_affiliation_strings': ['College of Global Change and Earth System Science, Beijing Normal University, Beijing100875, China#TAB#'], 'affiliations': [{'raw_affiliation_string': 'College of Global Change and Earth System Science, Beijing Normal University, Beijing100875, China#TAB#', 'institution_ids': ['https://openalex.org/I25254941']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5100376448', 'display_name': 'Miao Zhang', 'orcid': 'https://orcid.org/0000-0001-5464-1055'}, 'institutions': [{'id': 'https://openalex.org/I19820366', 'display_name': 'Chinese Academy of Sciences', 'ror': 'https://ror.org/034t30j35', 'country_code': 'CN', 'type': 'government', 'lineage': ['https://openalex.org/I19820366']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Miao Zhang', 'raw_affiliation_strings': ['State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing100101, China#TAB#'], 'affiliations': [{'raw_affiliation_string': 'State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing100101, China#TAB#', 'institution_ids': ['https://openalex.org/I19820366']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5113784682', 'display_name': 'Qinghan Dong', 'orcid': 'https://orcid.org/0000-0002-9377-1992'}, 'institutions': [{'id': 'https://openalex.org/I68522396', 'display_name': 'Flemish Institute for Technological Research', 'ror': 'https://ror.org/04gq0w522', 'country_code': 'BE', 'type': 'facility', 'lineage': ['https://openalex.org/I68522396']}], 'countries': ['BE'], 'is_corresponding': False, 'raw_author_name': 'Qinghan Dong', 'raw_affiliation_strings': ['Vlaamse Instelling voor Technologisch Onderzoek (VITO), Expertisecentrum voor teledetectie (TAP), B-2400Antwerp, Belgium#TAB#'], 'affiliations': [{'raw_affiliation_string': 'Vlaamse Instelling voor Technologisch Onderzoek (VITO), Expertisecentrum voor teledetectie (TAP), B-2400Antwerp, Belgium#TAB#', 'institution_ids': ['https://openalex.org/I68522396']}]}], 'institution_assertions': [], 'countries_distinct_count': 2, 'institutions_distinct_count': 3, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 2.285, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 27, 'citation_normalized_percentile': {'value': 0.902809, 'is_in_top_1_percent': False, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 92, 'max': 93}, 'biblio': {'volume': '35', 'issue': '16', 'first_page': '6076', 'last_page': '6088'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10111', 'display_name': 'Remote Sensing in Agriculture', 'score': 0.9998, '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'}}, 'topics': [{'id': 'https://openalex.org/T10111', 'display_name': 'Remote Sensing in Agriculture', 'score': 0.9998, '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/T11164', 'display_name': 'Remote Sensing and LiDAR Applications', 'score': 0.9954, '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/T10226', 'display_name': 'Land Use and Ecosystem Services', 'score': 0.993, 'subfield': {'id': 'https://openalex.org/subfields/2306', 'display_name': 'Global and Planetary Change'}, 'field': {'id': 'https://openalex.org/fields/23', 'display_name': 'Environmental Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/spectroradiometer', 'display_name': 'Spectroradiometer', 'score': 0.48044035}, {'id': 'https://openalex.org/keywords/precision-agriculture', 'display_name': 'Precision Agriculture', 'score': 0.4460856}, {'id': 'https://openalex.org/keywords/multispectral-pattern-recognition', 'display_name': 'Multispectral pattern recognition', 'score': 0.42793453}, {'id': 'https://openalex.org/keywords/thematic-mapper', 'display_name': 'Thematic Mapper', 'score': 0.41914266}], 'concepts': [{'id': 'https://openalex.org/C173163844', 'wikidata': 'https://www.wikidata.org/wiki/Q1761440', 'display_name': 'Multispectral image', 'level': 2, 'score': 0.66621137}, {'id': 'https://openalex.org/C1549246', 'wikidata': 'https://www.wikidata.org/wiki/Q718775', 'display_name': 'Normalized Difference Vegetation Index', 'level': 3, 'score': 0.6546341}, {'id': 'https://openalex.org/C62649853', 'wikidata': 'https://www.wikidata.org/wiki/Q199687', 'display_name': 'Remote sensing', 'level': 1, 'score': 0.5613418}, {'id': 'https://openalex.org/C205372480', 'wikidata': 'https://www.wikidata.org/wiki/Q210521', 'display_name': 'Image resolution', 'level': 2, 'score': 0.514574}, {'id': 'https://openalex.org/C130066347', 'wikidata': 'https://www.wikidata.org/wiki/Q680509', 'display_name': 'Spectroradiometer', 'level': 3, 'score': 0.48044035}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.4467196}, {'id': 'https://openalex.org/C120217122', 'wikidata': 'https://www.wikidata.org/wiki/Q740083', 'display_name': 'Precision agriculture', 'level': 3, 'score': 0.4460856}, {'id': 'https://openalex.org/C104541649', 'wikidata': 'https://www.wikidata.org/wiki/Q6935090', 'display_name': 'Multispectral pattern recognition', 'level': 3, 'score': 0.42793453}, {'id': 'https://openalex.org/C2775938548', 'wikidata': 'https://www.wikidata.org/wiki/Q1565182', 'display_name': 'Thematic Mapper', 'level': 3, 'score': 0.41914266}, {'id': 'https://openalex.org/C151406439', 'wikidata': 'https://www.wikidata.org/wiki/Q186588', 'display_name': 'Time series', 'level': 2, 'score': 0.41872454}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.2374048}, {'id': 'https://openalex.org/C25989453', 'wikidata': 'https://www.wikidata.org/wiki/Q446746', 'display_name': 'Leaf area index', 'level': 2, 'score': 0.20884028}, {'id': 'https://openalex.org/C205649164', 'wikidata': 'https://www.wikidata.org/wiki/Q1071', 'display_name': 'Geography', 'level': 0, 'score': 0.20765689}, {'id': 'https://openalex.org/C118518473', 'wikidata': 'https://www.wikidata.org/wiki/Q11451', 'display_name': 'Agriculture', 'level': 2, 'score': 0.20040557}, {'id': 'https://openalex.org/C2778102629', 'wikidata': 'https://www.wikidata.org/wiki/Q725252', 'display_name': 'Satellite imagery', 'level': 2, 'score': 0.17648041}, {'id': 'https://openalex.org/C119857082', 'wikidata': 'https://www.wikidata.org/wiki/Q2539', 'display_name': 'Machine learning', 'level': 1, 'score': 0.120031595}, {'id': 'https://openalex.org/C108597893', 'wikidata': 'https://www.wikidata.org/wiki/Q663650', 'display_name': 'Reflectivity', 'level': 2, 'score': 0.08631322}, {'id': 'https://openalex.org/C18903297', 'wikidata': 'https://www.wikidata.org/wiki/Q7150', 'display_name': 'Ecology', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C121332964', 'wikidata': 'https://www.wikidata.org/wiki/Q413', 'display_name': 'Physics', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C166957645', 'wikidata': 'https://www.wikidata.org/wiki/Q23498', 'display_name': 'Archaeology', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C120665830', 'wikidata': 'https://www.wikidata.org/wiki/Q14620', 'display_name': 'Optics', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C86803240', 'wikidata': 'https://www.wikidata.org/wiki/Q420', 'display_name': 'Biology', 'level': 0, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1080/01431161.2014.943325', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S117411352', 'display_name': 'International Journal of Remote Sensing', 'issn_l': '0143-1161', 'issn': ['0143-1161', '1366-5901'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320547', 'host_organization_name': 'Taylor & Francis', 'host_organization_lineage': ['https://openalex.org/P4310320547'], 'host_organization_lineage_names': ['Taylor & Francis'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [{'id': 'https://metadata.un.org/sdg/2', 'display_name': 'Zero hunger', 'score': 0.81}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 33, 'referenced_works': ['https://openalex.org/W181107242', 'https://openalex.org/W1964768046', 'https://openalex.org/W1986738039', 'https://openalex.org/W1990809012', 'https://openalex.org/W1991804653', 'https://openalex.org/W2024689500', 'https://openalex.org/W2030165874', 'https://openalex.org/W2032393651', 'https://openalex.org/W2033452057', 'https://openalex.org/W2038622951', 'https://openalex.org/W2040046785', 'https://openalex.org/W2053154970', 'https://openalex.org/W2055998931', 'https://openalex.org/W2058723831', 'https://openalex.org/W2061581247', 'https://openalex.org/W2062321700', 'https://openalex.org/W2063479531', 'https://openalex.org/W2095356701', 'https://openalex.org/W2099507093', 'https://openalex.org/W2109606373', 'https://openalex.org/W2111975408', 'https://openalex.org/W2113410727', 'https://openalex.org/W2114828048', 'https://openalex.org/W2122318831', 'https://openalex.org/W2122460654', 'https://openalex.org/W2125763679', 'https://openalex.org/W2132517486', 'https://openalex.org/W2159641772', 'https://openalex.org/W2170021941', 'https://openalex.org/W2170088503', 'https://openalex.org/W2258466939', 'https://openalex.org/W4214564766', 'https://openalex.org/W4285719527'], 'related_works': ['https://openalex.org/W744286676', 'https://openalex.org/W2083415047', 'https://openalex.org/W2072620969', 'https://openalex.org/W2069489344', 'https://openalex.org/W2061775097', 'https://openalex.org/W2037185301', 'https://openalex.org/W1989739405', 'https://openalex.org/W1966589063', 'https://openalex.org/W1935800', 'https://openalex.org/W1669866791'], 'abstract_inverted_index': {'AbstractCrop': [0], 'type': [1, 28, 67, 213], 'identification': [2, 29, 68, 214], 'is': [3, 62], 'the': [4, 24, 91, 127, 145, 155, 169, 174, 178, 196, 238, 248, 251, 261], 'basis': [5], 'of': [6, 26, 80, 85, 130, 182, 200, 242, 250, 254, 263], 'crop': [7, 16, 27, 66, 73, 212], 'acreage': [8], 'estimation': [9], 'and': [10, 19, 87, 109, 147, 189, 224, 240, 246], 'plays': [11], 'a': [12, 45, 122], 'key': [13], 'role': [14], 'in': [15, 70, 260], 'production': [17], 'prediction': [18], 'food': [20], 'security': [21], 'analysis.': [22], 'However,': [23], 'accuracy': [25, 69, 159], 'using': [30, 116, 164, 168, 177], 'remote-sensing': [31], 'data': [32, 52, 61, 193], 'needs': [33], 'to': [34, 37, 64, 112, 125, 143, 166, 191, 208, 220, 258], 'be': [35], 'improved': [36, 161], 'support': [38], 'operational': [39], 'agriculture-monitoring': [40], 'tasks.': [41], 'In': [42], 'this': [43, 264], 'paper,': [44], 'new': [46], 'method': [47, 124, 205], 'integrating': [48], 'high-spatial': [49], 'resolution': [50, 115, 117, 129], 'multispectral': [51], 'with': [53], 'features': [54], 'extracted': [55, 95], 'from': [56, 96, 162], 'coarse-resolution': [57], 'time-series': [58, 97], 'vegetation': [59, 105], 'index': [60, 106], 'proposed': [63, 179, 204], 'improve': [65], 'Hungary.': [71], 'Four': [72], 'growth': [74], 'features,': [75], 'including': [76], 'peak': [77, 81], 'value,': [78], 'date': [79], 'occurrence,': [82], 'average': [83, 88, 156], 'rate': [84, 89], 'green-up,': [86], 'for': [90, 227, 237, 247], 'senescence': [92], 'period': [93], 'were': [94, 187], 'Moderate': [98], 'Resolution': [99], 'Imaging': [100], 'Spectroradiometer': [101], '(MODIS)': [102], 'normalized': [103], 'difference': [104], '(NDVI)': [107], 'profiles': [108], 'spatially': [110], 'enhanced': [111], '30': [113], 'm': [114], 'merge': [118], 'tools': [119], 'based': [120], 'on': [121, 173, 231], 'multiplicative': [123], 'match': [126], 'spatial': [128], 'Landsat': [131], 'Thematic': [132], 'Mapper': [133], '(TM)': [134], 'data.': [135], 'A': [136], 'maximum': [137], 'likelihood': [138], 'classifier': [139], '(MLC)': [140], 'was': [141, 160, 206], 'used': [142], 'classify': [144], 'TM': [146, 165], 'merged': [148, 170], 'images.': [149, 171], 'Independent': [150], 'validation': [151], 'results': [152, 176], 'indicated': [153], 'that': [154], 'overall': [157], 'classification': [158, 175], '92.38%': [163], '94.67%': [167], 'Based': [172], 'method,': [180], 'acreages': [181], 'two': [183, 243], 'major': [184], 'summer': [185], 'crops': [186], 'estimated': [188], 'compared': [190], 'statistical': [192], 'provided': [194], 'by': [195], 'United': [197], 'States': [198], 'Department': [199], 'Agriculture': [201], '(USDA).': [202], 'The': [203], 'able': [207], 'achieve': [209], 'highly': [210], 'satisfactory': [211], 'results.': [215], 'AcknowledgementsThe': [216], 'author': [217], 'would': [218], 'like': [219], 'thank': [221], 'Li': [222], 'Zhikai': [223], 'Zhang': [225], 'Feifei': [226], 'their': [228], 'useful': [229], 'work': [230], 'image': [232], 'processing.': [233], 'We': [234], 'are': [235], 'grateful': [236], 'comments': [239], 'suggestions': [241], 'anonymous': [244], 'referees': [245], 'help': [249], 'editor,': [252], 'all': [253], 'which': [255], 'have': [256], 'led': [257], 'improvements': [259], 'presentation': [262], 'article.': [265]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W1993239774', 'counts_by_year': [{'year': 2024, 'cited_by_count': 4}, {'year': 2023, 'cited_by_count': 2}, {'year': 2022, 'cited_by_count': 1}, {'year': 2021, 'cited_by_count': 1}, {'year': 2020, 'cited_by_count': 2}, {'year': 2019, 'cited_by_count': 4}, {'year': 2018, 'cited_by_count': 3}, {'year': 2017, 'cited_by_count': 4}, {'year': 2016, 'cited_by_count': 5}, {'year': 2015, 'cited_by_count': 1}], 'updated_date': '2025-01-12T21:27:18.451725', 'created_date': '2016-06-24'}